11.14.3.9 Inpainting, Filling Holes, Fixing Problems

Chapter Contents (Back)
Inpainting.
See also Texture Synthesis.
See also Missing Data, Fixing Problems.
See also Inpainting, GAN, CNN, Neural Nets, Learning.
See also Inpainting Face Images, Facial Images.
See also Object Removal, Inpainting After Removing Objects.
See also Inpainting, Patch Based Methods, Region Methods.
See also Inpainting, Exemplar Based Methods.
See also Outpainting, Extrapolation. For range data:
See also Inpainting, Inpainting Range Images, Range, Depth Data.
See also Inpainting, Video Inpainting.
See also Color Transfer, Color Enhancement, Color Correction.

restoreInpaint,
2000.
WWW Link. Code, Restoration. Code, Inpainting. filling detected cracks and missing thin parts of images, paintings, frescos, removing noise, enhancing brightness, color and details, etc.

CVonline: Occlusion Understanding and Recovery,
CV-Online2002.
HTML Version. Survey, Surface Reconstrutcion. BibRef 0200

Burt, P.J.[Peter J.], Adelson, E.H.[Edward H.],
Method for compensating for void-defects in images,
US_Patent4,698,843, Oct 6, 1987
WWW Link. BibRef 8710

Bugeau, A., Bertalmio, M., Caselles, V., Sapiro, G.,
A Comprehensive Framework for Image Inpainting,
IP(19), No. 10, October 2010, pp. 2634-2645.
IEEE DOI 1003
BibRef

Colbert, M., Reinhard, E., Hughes, C.E.,
Painting in High Dynamic Range,
JVCIR(18), No. 5, October 2007, pp. 387-396.
Elsevier DOI 0711
BibRef

Chan, T.F.[Tony F.], Shen, J.H.[Jian-Hong],
Nontexture Inpainting by Curvature-Driven Diffusions,
JVCIR(12), No. 4, December 2001, pp. 436-449.
DOI Link 0204

See also Total Variation Inpainting Using Split Bregman. BibRef

Chan, T.F., Kang, S.H., and Shen, J.H.[Jian-Hong],
Euler's elastica and curvature based inpainting,
SIAM_JAM(63), No. 2, 2002, pp. 564-592.
DOI Link BibRef 0200

Yashtini, M.[Maryam], Kang, S.H.[Sung Ha],
A Fast Relaxed Normal Two Split Method and an Effective Weighted TV Approach for Euler's Elastica Image Inpainting,
SIIMS(9), No. 4, 2016, pp. 1552-1581.
DOI Link 1612
BibRef

Chan, T.F.[Tony F.], Shen, J.H.[Jian-Hong],
Mathematical models for local nontexture inpaintings,
SIAM_JAM(62), No. 3, 2001, pp. 1019-1043.
WWW Link. BibRef 0100

Chan, T.F.[Tony F.], Shen, J.H.[Jian-Hong], Vese, L.A.,
Variational PDE models in image processing,
NAMS(50), 2003, pp. 14-26.
WWW Link. BibRef 0300

Chan, T.F.[Tony F.], Kang, S.H.[Sung Ha],
Error Analysis for Image Inpainting,
JMIV(26), No. 1-2, November 2006, pp. 85-103.
Springer DOI 0701
BibRef

Wong, T.W.[Tsz Wai], Zhao, H.K.[Hong-Kai],
Computation of Quasi-Conformal Surface Maps Using Discrete Beltrami Flow,
SIIMS(7), No. 4, 2014, pp. 2675-2699.
DOI Link 1412
BibRef

Wong, T.W.[Tsz Wai], Gu, X.F.[Xian-Feng], Chan, T.F.[Tony F.], Lui, L.M.[Lok Ming],
Parallelizable inpainting and refinement of diffeomorphisms using Beltrami holomorphic flow,
ICCV11(2383-2390).
IEEE DOI 1201
BibRef

Shen, J.H.[Jian-Hong],
On the foundations of vision modeling I: Weber's law and Weberized TV restoration,
PhysicaD(175), 2003, pp. 241-251.
Elsevier DOI BibRef 0300

Shen, J.H.[Jian-Hong],
On the foundations of vision modeling II. Mining of mirror symmetry of 2-D shapes,
JVCIR(16), No. 3, June 2005, pp. 250-270.
Elsevier DOI 0711
BibRef
Earlier:
On the foundations of vision modeling II: Mining of mirror symmetry of 2-D shapes,
UCLA CAMTech. Report 02-62; Mirror symmetry; Shapes; Mass center; PCA; Lebesgue; Hausdorff; Feature sets; Existence; Convex shape; Support function; Normal shooting BibRef

Shen, J.H.[Jian-Hong],
On the Foundations of Vision Modeling III. Noncommutative Monoids of Occlusive Preimages,
JMIV(24), No. 1, January 2006, pp. 5-17.
Springer DOI 0605
2-D occlusions are a significant cue. BibRef

Shen, J.H.[Jian-Hong],
Inpainting and the fundamental problem of image processing,
SIAM_News(36), 2003. BibRef 0300

Grover, S.[Suneet], Gupta, S.[Sumit], Sarj, A.A.K.[Ankush A. K.],
A Unified Approach for Digital Image Inpainting Using Bounded Search Space,
GVIP(05), No. V6, 2005, pp. 17-24
HTML Version. BibRef 0500

Borzi, A.[Alfio], Grossauer, H.[Harald], Scherzer, O.[Otmar],
Analysis of Iterative Methods for Solving a Ginzburg-Landau Equation,
IJCV(64), No. 2-3, September 2005, pp. 203-219.
Springer DOI 0510
BibRef
Earlier: A2, A3, Only:
Using the Complex Ginzburg-Landau Equation for Digital Inpainting in 2D and 3D,
ScaleSpace03(225-236).
Springer DOI 0310
BibRef

Grossauer, H.[Harald],
A Combined PDE and Texture Synthesis Approach to Inpainting,
ECCV04(Vol II: 214-224).
Springer DOI 0405
BibRef

Rares, A., Reinders, M.J.T., Biemond, J.,
Constrained Texture Restoration,
JASP(2005), No. 17, 2005, pp. 2758-277.
WWW Link. 0603
BibRef

Calvetti, D.[Daniela], Sgallari, F.[Fiorella], Somersalo, E.[Erkki],
Image inpainting with structural bootstrap priors,
IVC(24), No. 7, July 2006, pp. 782-793.
Elsevier DOI 0608
Inpainting; Statistical inversion; Structural priors; Boundary conditions BibRef

Auclair-Fortier, M.F., Ziou, D.,
A Global Approach for Solving Evolutive Heat Transfer for Image Denoising and Inpainting,
IP(15), No. 9, August 2006, pp. 2558-2574.
IEEE DOI 0608
BibRef

Barcelos, C.A.Z.[Celia A. Zorzo], Batista, M.A.[Marcos Aurélio],
Image restoration using digital inpainting and noise removal,
IVC(25), No. 1, January 2007, pp. 61-69.
Elsevier DOI 0611
Image processing; Noise removal; Edge detection; Diffusion equation; Transport equation BibRef

Chiewchanwattana, S.[Sirapat], Lursinsap, C.[Chidchanok], Chu, C.H.H.[Chee-Hung Henry],
Imputing incomplete time-series data based on varied-window similarity measure of data sequences,
PRL(28), No. 9, 1 July 2007, pp. 1091-1103.
Elsevier DOI 0704
Incomplete time-series; Fill-in method; Varied-window similarity measure BibRef

Tauber, Z., Li, Z.N., Drew, M.S.,
Review and Preview: Disocclusion by Inpainting for Image-Based Rendering,
SMC-C(37), No. 4, July 2007, pp. 527-540.
IEEE DOI 0707
BibRef

Korah, T.[Thommen], Rasmussen, C.[Christopher],
Spatiotemporal Inpainting for Recovering Texture Maps of Occluded Building Facades,
IP(16), No. 9, September 2007, pp. 2262-2271.
IEEE DOI 0709
BibRef
Earlier:
Improving Spatiotemporal Inpainting with Layer Appearance Models,
ISVC06(II: 718-730).
Springer DOI 0611
BibRef
Earlier:
PCA-Based Recognition for Efficient Inpainting,
ACCV06(I:206-215).
Springer DOI 0601
BibRef
Earlier: A2, A1:
Spatiotemporal Inpainting for Recovering Texture Maps of Partially Occluded Building Facades,
ICIP05(III: 125-128).
IEEE DOI 0512
BibRef

Korah, T.[Thommen], Rasmussen, C.[Christopher],
Analysis of Building Textures for Reconstructing Partially Occluded Facades,
ECCV08(I: 359-372).
Springer DOI 0810
BibRef

Liu, D., Sun, X.Y., Wu, F., Li, S.P., Zhang, Y.Q.,
Image Compression With Edge-Based Inpainting,
CirSysVideo(17), No. 10, October 2007, pp. 1273-1287.
IEEE DOI 0711
BibRef

Xiong, Z.W.[Zhi-Wei], Sun, X.Y.[Xiao-Yan], Wu, F.[Feng],
Block-Based Image Compression With Parameter-Assistant Inpainting,
IP(19), No. 6, June 2010, pp. 1651-1657.
IEEE DOI 1006
BibRef
Earlier:
Image hallucination with feature enhancement,
CVPR09(2074-2081).
IEEE DOI 0906
BibRef

Xiong, Z.W.[Zhi-Wei], Sun, X.Y.[Xiao-Yan], Wu, F.[Feng], Li, S.P.[Shi-Peng],
Image Coding with Parameter-Assistant Inpainting,
ICIP07(II: 369-372).
IEEE DOI 0709
BibRef

Bornemann, F.[Folkmar], März, T.[Tom],
Fast Image Inpainting Based on Coherence Transport,
JMIV(28), No. 3, July 2007, pp. 259-278.
Springer DOI 0709
BibRef

Marz, T.[Thomas],
Image Inpainting Based on Coherence Transport with Adapted Distance Functions,
SIIMS(4), No. 4 2011, pp. 981.
DOI Link 1112
BibRef

Komodakis, N.[Nikos], Tziritas, G.[George],
Image Completion Using Efficient Belief Propagation Via Priority Scheduling and Dynamic Pruning,
IP(16), No. 11, November 2007, pp. 2649-2661.
IEEE DOI 0709
BibRef
Earlier: A1, Only:
Image Completion Using Global Optimization,
CVPR06(I: 442-452).
IEEE DOI 0606

See also 3D visual reconstruction of large scale natural sites and their fauna. BibRef

Lauze, F.[François], Nielsen, M.[Mads],
From Inpainting to Active Contours,
IJCV(79), No. 1, August 2008, pp. xx-yy.
Springer DOI 0804
BibRef
Earlier:
A Variational Algorithm For Motion Compensated Inpainting,
BMVC04(xx-yy).
HTML Version. 0508
BibRef

Cuzol, A.[Anne], Steenstrup Pedersen, K.[Kim], Nielsen, M.[Mads],
Field of Particle Filters for Image Inpainting,
JMIV(31), No. 2-3, July 2008, pp. 147-156.
WWW Link. 0711
BibRef

Gustavsson, D.[David], Steenstrup Pedersen, K.[Kim], Nielsen, M.[Mads],
Image Inpainting by Cooling and Heating,
SCIA07(591-600).
Springer DOI 0706
BibRef

Brox, T.[Thomas], Kleinschmidt, O., Cremers, D.[Daniel],
Efficient Nonlocal Means for Denoising of Textural Patterns,
IP(17), No. 7, July 2008, pp. 1083-1092.
IEEE DOI 0806
BibRef
Earlier: A1, A3, Only:
Iterated Nonlocal Means for Texture Restoration,
SSVM07(13-24).
Springer DOI Or:
PDF File. 0705
BibRef

Jiang, Y.W.[Yi-Wei], Xu, D.[De], Lee, M.H.[Moon-Ho], Lang, C.Y.[Cong-Yan],
A Visual Inpainting Method Based on the Compressed Domain,
IEICE(E90-D), No. 10, October 2007, pp. 1716-1719.
DOI Link 0710
BibRef

Hays, J.H.[James H.], Efros, A.A.[Alexei A.],
Scene Completion using Millions of Photographs,
CACM(51), No. 10, October 2008, pp. 87-94.
PDF File. BibRef 0810
Earlier: SIGGRAPH07(xx-yy).
WWW Link. BibRef

Kluzner, V.[Vladimir], Wolansky, G.[Gershon], Zeevi, Y.Y.[Yehoshua Y.],
Geometric Approach to Measure-Based Metric in Image Segmentation,
JMIV(33), No. 3, March 2009, pp. xx-yy.
Springer DOI 0903
BibRef
Earlier:
A Geometric-Functional-Based Image Segmentation and Inpainting,
SSVM07(165-177).
Springer DOI 0705
BibRef

Wolansky, G.[Gershon],
Incompressible, Quasi-Isometric Deformations Of 2-Dimensional Domains,
SIIMS(2), No. 4, 2009, pp. 1031-1048.
DOI Link isometry; quasi isometry; surfaces; variational analysis BibRef 0900

Auroux, D.[Didier], Masmoudi, M.[Mohamed],
Image Processing by Topological Asymptotic Expansion,
JMIV(33), No. 2, February 2009, pp. xx-yy.
Springer DOI 0903
apply to inpainting. BibRef

Hladky, R.K.[Robert K.], Pauls, S.D.[Scott D.],
Minimal Surfaces in the Roto-Translation Group with Applications to a Neuro-Biological Image Completion Model,
JMIV(36), No. 1, January 2010, pp. xx-yy.
Springer DOI 1001
BibRef

Burger, M.[Martin], He, L.[Lin], Schonlieb, C.B.[Carola-Bibiane],
Cahn-Hilliard Inpainting And A Generalization For Grayvalue Images,
SIIMS(2), No. 4, 2009, pp. 1129-1167.
DOI Link 1002
Cahn-Hilliard equation; total variation minimization; image inpainting BibRef

Papafitsoros, K., Schönlieb, C.B.,
A Combined First and Second Order Variational Approach for Image Reconstruction,
JMIV(48), No. 2, February 2014, pp. 308-338.
Springer DOI 1402
Image denoising, deblurring as well as image inpainting. BibRef

Al-Takrouri, S.[Saleh], Savkin, A.V.[Andrey V.],
A model validation approach to texture recognition and inpainting,
PR(43), No. 6, June 2010, pp. 2054-2067.
Elsevier DOI 1003
Texture modeling; Texture recognition; Texture inpainting; Robust control; Model validation; Uncertain systems; Kalman filter BibRef

Subrahmanyam, G.R.K.S., Rajagopalan, A.N., Aravind, R.,
Recursive framework for joint inpainting and de-noising of photographic films,
JOSA-A(27), No. 5, May 2010, pp. 1091-1099.
WWW Link. 1006
BibRef

Huan, X.L.[Xiao-Li], Murali, B.[Beddhu], Ali, A.L.[Adel L.],
Image restoration based on the fast marching method and block based sampling,
CVIU(114), No. 8, August 2010, pp. 847-856.
Elsevier DOI 1007
Inpainting; Restoration; Fast marching methods; Sum of squared difference; Texture synthesis BibRef

Hahn, J.Y.[Joo-Young], Tai, X.C.[Xue-Cheng], Borok, S.[Sofia], Bruckstein, A.M.[Alfred Marcel],
Orientation-Matching Minimization for Image Denoising and Inpainting,
IJCV(92), No. 3, May 2011, pp. 308-324.
WWW Link. 1103
BibRef
Earlier: A2, A3, A1:
Image Denoising Using TV-Stokes Equation with an Orientation-Matching Minimization,
SSVM09(490-501).
Springer DOI 0906

See also Augmented Lagrangian Method, Dual Methods, and Split Bregman Iteration For ROF, Vectorial TV, and High Order Models. BibRef

Dellepiane, M.[Matteo], Venturi, A.[Andrea], Scopigno, R.[Roberto],
Image Guided Reconstruction of Un-sampled Data: A Filling Technique for Cultural Heritage Models,
IJCV(94), No. 1, August 2011, pp. 2-11.
WWW Link. 1101
BibRef
Earlier:
Image guided reconstruction of un-sampled data: A coherent filling for uncomplete Cultural Heritage models,
DigArt09(939-946).
IEEE DOI 0910
BibRef

Li, S.T.[Shu-Tao], Zhao, M.[Ming],
Image inpainting with salient structure completion and texture propagation,
PRL(32), No. 9, 1 July 2011, pp. 1256-1266.
Elsevier DOI 1101
Image inpainting; Texture synthesis; Structure completion; Curve fitting; Curve extension BibRef

Tai, X.C.[Xue-Cheng], Hahn, J.Y.[Joo-Young], Chung, G.J.[Ginmo Jason],
A Fast Algorithm for Euler's Elastica Model Using Augmented Lagrangian Method,
SIIMS(4), No. 1, 2011, pp. 313-344.
DOI Link 1106
Euler's elastica; image inpainting; image denoising; image zooming; constrained minimization; augmented Lagrangian method BibRef

Zhu, W.[Wei], Tai, X.C.[Xue-Cheng], Chan, T.F.[Tony F.],
A Fast Algorithm for a Mean Curvature Based Image Denoising Model Using Augmented Lagrangian Method,
Optimization11(104-118).
Springer DOI 1405
BibRef

Zhu, W.[Wei], Chan, T.F.[Tony F.],
Image Denoising Using Mean Curvature of Image Surface,
SIIMS(5), No. 1 2012, pp. 1-32.
DOI Link 1201

See also Total Variation Denoising and Enhancement of Color Images Based on the CB and HSV Color Models. BibRef

Duan, Y.P.[Yu-Ping], Wang, Y.[Yu], Tai, X.C.[Xue-Cheng], Hahn, J.Y.[Joo-Young],
A Fast Augmented Lagrangian Method for Euler's Elastica Model,
SSVM11(144-156).
Springer DOI 1201
BibRef

Florinabel, D.J.[D. Jemi], Juliet, S.E.[S. Ebenezer], Sadasivam, V.,
Multiorientation-based Multistructure Morphological Inpainting,
IJIG(11), No. 2, April 2011, pp. 177-193.
DOI Link 1107
BibRef

Li, F.[Fang], Bao, Z.[Zheng], Liu, R.[Ruihua], Zhang, G.X.[Gui-Xu],
Fast image inpainting and colorization by Chambolle's dual method,
JVCIR(22), No. 6, August 2011, pp. 529-542.
Elsevier DOI 1108
Inpainting; Colorization; Total variation; Chambolle's dual method BibRef

Buet, B., Leonardi, G.P., Masnou, S.,
Discrete Varifolds: A Unified Framework for Discrete Approximations of Surfaces and Mean Curvature,
SSVM15(513-524).
Springer DOI 1506
BibRef

Haehnle, J.[Jonas], Prohl, A.[Andreas],
Mumford-Shah-Euler Flow with Sphere Constraint and Applications to Color Image Inpainting,
SIIMS(4), No. 4 2011, pp. 1200.
DOI Link 1112
BibRef

Shibata, T.[Takashi], Iketani, A.[Akihiko], Senda, S.[Shuji],
Fast and Structure-Preserving Image Inpainting Based on Probabilistic Structure Estimation,
IEICE(E95-D), No. 7, July 2012, pp. 1731-1739.
WWW Link. 1208
BibRef
Earlier:
Image Inpainting Based on Probabilistic Structure Estimation,
ACCV10(III: 109-120).
Springer DOI 1011
BibRef

Getreuer, P.[Pascal],
Total Variation Inpainting Using Split Bregman,
IPOL(2012), No. 2012, pp. xx-yy.
DOI Link 1208
Code, Inpainting.
See also Rudin-Osher-Fatemi Total Variation Denoising using Split Bregman.
See also Nontexture Inpainting by Curvature-Driven Diffusions. BibRef

Zhi, Z.J.[Zhan-Jiang], Sun, Y.[Yi],
An Image Inpainting Algorithm Based on Energy Minimization,
IJIG(12), No. 3, July 2012, pp. 1250017.
DOI Link 1210
BibRef

Liu, J.[Ji], Liu, J.[Jun], Wonka, P.[Peter], Ye, J.P.[Jie-Ping],
Sparse non-negative tensor factorization using columnwise coordinate descent,
PR(45), No. 1, 2012, pp. 649-656.
Elsevier DOI 1410
Sparse BibRef

Wan, W.[Wei], Guo, W.H.[Wei-Hong], Huang, H.Y.[Hai-Yang], Liu, J.[Jun],
Nonnegative and Nonlocal Sparse Tensor Factorization-Based Hyperspectral Image Super-Resolution,
GeoRS(58), No. 12, December 2020, pp. 8384-8394.
IEEE DOI 2012
Tensors, Dictionaries, Sparse matrices, Noise reduction, Spatial resolution, Correlation, Hyperspectral imaging (HSI), super-resolution BibRef

Wang, Y.[Yi], Szlam, A.[Arthur], Lerman, G.[Gilad],
Robust Locally Linear Analysis with Applications to Image Denoising and Blind Inpainting,
SIIMS(6), No. 1, 2013, pp. 526-562.
DOI Link 1304
BibRef

Gepshtein, S., Keller, Y.,
Image Completion by Diffusion Maps and Spectral Relaxation,
IP(22), No. 8, 2013, pp. 2983-2994.
IEEE DOI 1307
contemporary inpainting schemes; image completion BibRef

Hasegawa, M., Kako, T., Hirobayashi, S.H., Misawa, T., Yoshizawa, T., Inazumi, Y.,
Image Inpainting on the Basis of Spectral Structure from 2-D Nonharmonic Analysis,
IP(22), No. 8, 2013, pp. 3008-3017.
IEEE DOI 1307
discrete Fourier transforms BibRef

Li, P., Li, S.J., Yao, Z.A., Zhang, Z.J.,
Two anisotropic fourth-order partial differential equations for image inpainting,
IET-IPR(7), No. 3, 2013, pp. -.
DOI Link 1307
BibRef

Li, S.J.[Shuai-Jie], Yang, X.H.[Xiao-Hui],
Novel image inpainting algorithm based on adaptive fourth-order partial differential equation,
IET-IPR(11), No. 10, October 2017, pp. 870-879.
DOI Link 1710
BibRef

Qin, C.[Chuan], Chang, C.C.[Chin-Chen], Huang, Y.H.[Ying-Hsuan], Liao, L.T.[Li-Ting],
An Inpainting-Assisted Reversible Steganographic Scheme Using a Histogram Shifting Mechanism,
CirSysVideo(23), No. 7, 2013, pp. 1109-1118.
IEEE DOI 1307
feature extraction BibRef

Rodriguez-Sánchez, R.[Rosa], García, J.A., Fdez-Valdivia, J.,
Image inpainting with nonsubsampled contourlet transform,
PRL(34), No. 13, 2013, pp. 1508-1518.
Elsevier DOI 1308
Nonsubsampled contourlet transform BibRef

Papafitsoros, K.[Konstantinos], Schoenlieb, C.B.[Carola Bibiane], Sengul, B.[Bati],
Combined First and Second Order Total Variation Inpainting using Split Bregman,
IPOL(2012), No. 2012, pp. xx-yy.
DOI Link 1309
Code, Inpainting.
See also Variational Framework for Exemplar-Based Image Inpainting, A. BibRef

Casaca, W.[Wallace], Boaventura, M.[Maurílio], de Almeida, M.P.[Marcos Proença], Nonato, L.G.[Luis Gustavo],
Combining anisotropic diffusion, transport equation and texture synthesis for inpainting textured images,
PRL(36), No. 1, 2014, pp. 36-45.
Elsevier DOI 1312
Image inpainting BibRef

Casaca, W.[Wallace], Motta, D.[Danilo], Taubin, G.[Gabriel], Nonato, L.G.[Luis Gustavo],
A User-Friendly Interactive Image Inpainting Framework Using Laplacian Coordinates,
ICIP15(862-866)
IEEE DOI 1512
image inpainting; interactive segmentation; optimization techniques
See also Interactive Image Colorization Using Laplacian Coordinates. BibRef

King, E.J.[Emily J.], Kutyniok, G.[Gitta], Zhuang, X.S.[Xiao-Sheng],
Analysis of Inpainting via Clustered Sparsity and Microlocal Analysis,
JMIV(48), No. 2, February 2014, pp. 205-234.
Springer DOI 1402
BibRef

Shen, H.F.[Huan-Feng], Li, X.H.[Xing-Hua], Zhang, L.P.[Liang-Pei], Tao, D.C.[Da-Cheng], Zeng, C.[Chao],
Compressed Sensing-Based Inpainting of Aqua Moderate Resolution Imaging Spectroradiometer Band 6 Using Adaptive Spectrum-Weighted Sparse Bayesian Dictionary Learning,
GeoRS(52), No. 2, February 2014, pp. 894-906.
IEEE DOI 1402
Bayes methods BibRef

Wang, Y.Q.[Yi-Qing],
E-PLE: an Algorithm for Image Inpainting,
IPOL(2013), No. 2013, pp. 271-285.
DOI Link 1403
BibRef

Bosch, J., Kay, D., Stoll, M., Wathen, A.,
Fast Solvers for Cahn-Hilliard Inpainting,
SIIMS(7), No. 1, 2014, pp. 67-97.
DOI Link 1404
BibRef

Bosch, J.[Jessica], Stoll, M.[Martin],
A Fractional Inpainting Model Based on the Vector-Valued Cahn-Hilliard Equation,
SIIMS(8), No. 4, 2015, pp. 2352-2382.
DOI Link 1601
BibRef

He, R.[Ran], Tan, T., Wang, L.[Liang],
Robust Recovery of Corrupted Low-Rank Matrix by Implicit Regularizers,
PAMI(36), No. 4, April 2014, pp. 770-783.
IEEE DOI 1404
Equations. BibRef

Li, F.[Fang], Zeng, T.Y.[Tie-Yong],
A Universal Variational Framework for Sparsity-Based Image Inpainting,
IP(23), No. 10, October 2014, pp. 4242-4254.
IEEE DOI 1410
filtering theory BibRef

Li, F.[Fang], Zeng, T.Y.[Tie-Yong],
A New Algorithm Framework for Image Inpainting in Transform Domain,
SIIMS(9), No. 1, 2016, pp. 24-51.
DOI Link 1604
BibRef

Zhou, H.L.[Hai-Ling], Wei, L.[Lei], Creighton, D.[Douglas], Nahavandi, S.[Saeid],
Inpainting images with curvilinear structures propagation,
MVA(25), No. 8, November 2014, pp. 2003-2008.
Springer DOI 1411
Also curve completion method. BibRef

Genzel, M., Kutyniok, G.,
Asymptotic Analysis of Inpainting via Universal Shearlet Systems,
SIIMS(7), No. 4, 2014, pp. 2301-2339.
DOI Link 1402
BibRef

Ruzic, T.[Tijana], Pizurica, A.[Aleksandra],
Context-Aware Patch-Based Image Inpainting Using Markov Random Field Modeling,
IP(24), No. 1, January 2015, pp. 444-456.
IEEE DOI 1502
Markov processes BibRef

Ruzic, T.[Tijana], Pizurica, A.[Aleksandra], Philips, W.[Wilfried],
Markov Random Field based image inpainting with context-aware label selection,
ICIP12(1733-1736).
IEEE DOI 1302
BibRef

Lu, S.P.[Shao-Ping], Ceulemans, B., Munteanu, A., Schelkens, P.,
Performance optimizations for PatchMatch-based pixel-level multiview inpainting,
IC3D13(1-7)
IEEE DOI 1503
image classification BibRef

Ghorai, M.[Mrinmoy], Chanda, B.[Bhabatosh],
An image inpainting method using pLSA-based search space estimation,
MVA(26), No. 1, January 2015, pp. 69-87.
WWW Link. 1503
BibRef
And:
An Image Inpainting Algorithm Using Higher Order Singular Value Decomposition,
ICPR14(2867-2872)
IEEE DOI 1412
Approximation methods BibRef

Ghorai, M.[Mrinmoy], Mandal, S.[Sekhar], Chanda, B.[Bhabatosh],
A Group-Based Image Inpainting Using Patch Refinement in MRF Framework,
IP(27), No. 2, February 2018, pp. 556-567.
IEEE DOI 1712
BibRef
Earlier:
Patch sparsity based image inpainting using local patch statistics and steering kernel descriptor,
ICPR16(781-786)
IEEE DOI 1705
BibRef
Earlier:
A Two-Step Image Inpainting Algorithm Using Tensor SVD,
Restoration14(II: 63-77).
Springer DOI 1504
Clustering algorithms, Computational modeling, Image resolution, Linear programming, Markov processes, Optimization, subspace clustering. Approximation algorithms, Feature extraction, Histograms, Kernel, Periodic structures, Shape, Inpainting, local steering kernel, patch sparsity, self-similarity BibRef

Ghorai, M.[Mrinmoy], Samanta, S., Mandal, S.[Sekhar], Chanda, B.[Bhabatosh],
Multiple Pyramids Based Image Inpainting Using Local Patch Statistics and Steering Kernel Feature,
IP(28), No. 11, November 2019, pp. 5495-5509.
IEEE DOI 1909
Kernel, Coherence, Image resolution, Image restoration, Optimization, Inference algorithms, Image reconstruction, Inpainting, pyramid BibRef

Hua, M.[Miao], Wang, W.C.[Wen-Cheng],
Effective structure restoration for image completion using internet resources,
VC(31), No. 6-8, June 2015, pp. 1113-1122.
WWW Link. 1506
BibRef

Pižurica, A.[Aleksandra], Platiša, L.[Ljiljana], Ruzic, T., Cornelis, B.[Bruno], Dooms, A.[Ann], Martens, M., Dubois, H., Devolder, B., de Mey, M.[Marc], Daubechies, I.[Ingrid],
Digital Image Processing of The Ghent Altarpiece: Supporting the painting's study and conservation treatment,
SPMag(32), No. 4, July 2015, pp. 112-122.
IEEE DOI 1506
Art; Digital images; Filter banks; Image restoration; Painting BibRef

Cornelis, B.[Bruno], Yang, H., Goodfriend, A., Ocon, N., Lu, J., Daubechies, I.[Ingrid],
Removal of Canvas Patterns in Digital Acquisitions of Paintings,
IP(26), No. 1, January 2017, pp. 160-171.
IEEE DOI 1612
Wiener filters BibRef

Ružic, T.[Tijana], Cornelis, B.[Bruno], Platiša, L.[Ljiljana], Pižurica, A.[Aleksandra], Dooms, A.[Ann], Philips, W.[Wilfried], Martens, M.[Maximiliaan], de Mey, M.[Marc], Daubechies, I.[Ingrid],
Virtual Restoration of the Ghent Altarpiece Using Crack Detection and Inpainting,
ACIVS11(417-428).
Springer DOI 1108
BibRef

Cornelis, B.[Bruno],
Image Processing for Art Investigation,
ELCVIA(14), No. 3, 2015, pp. xx-yy.
DOI Link 1601
Thesis summary. BibRef

Alilou, V.K.[Vahid K.], Yaghmaee, F.[Farzin],
Non-texture image inpainting using histogram of oriented gradients,
JVCIR(48), No. 1, 2017, pp. 43-53.
Elsevier DOI 1708
Image inpainting BibRef

Jin, K.H.[Kyong Hwan], Ye, J.C.[Jong Chul],
Annihilating Filter-Based Low-Rank Hankel Matrix Approach for Image Inpainting,
IP(24), No. 11, November 2015, pp. 3498-3511.
IEEE DOI 1509
Hankel matrices BibRef

Cai, L.[Lu], Kim, T.[Taewhan],
Context-driven hybrid image inpainting,
IET-IPR(9), No. 10, 2015, pp. 866-873.
DOI Link 1511
computer vision BibRef

Tan, X.[Xiao], Sun, C.M.[Chang-Ming], Wong, K.Y.K.[Kwan-Yee K.], Pham, T.D.[Tuan D.],
Guided image completion by confidence propagation,
PR(50), No. 1, 2016, pp. 210-222.
Elsevier DOI 1512
Confidence propagation BibRef

Aswatha, S.M.[Shashaank M.], Mukherjee, J.[Jayanta], Bhowmick, P.[Partha],
An Integrated Repainting System for Digital Restoration of Vijayanagara Murals,
IJIG(16), No. 01, 2016, pp. 1650005.
DOI Link 1603
BibRef

Bergmann, R.[Ronny], Weinmann, A.[Andreas],
A Second-Order TV-Type Approach for Inpainting and Denoising Higher Dimensional Combined Cyclic and Vector Space Data,
JMIV(55), No. 3, July 2016, pp. 401-427.
WWW Link. 1604
BibRef
Earlier:
Inpainting of Cyclic Data Using First and Second Order Differences,
EMMCVPR15(155-168).
Springer DOI 1504
Inpainting.
See also Second Order Differences of Cyclic Data and Applications in Variational Denoising. BibRef

Muddala, S.M.[Suryanarayana M.], Sjöström, M.[Mĺrten], Olsson, R.[Roger],
Virtual view synthesis using layered depth image generation and depth-based inpainting for filling disocclusions and translucent disocclusions,
JVCIR(38), No. 1, 2016, pp. 351-366.
Elsevier DOI 1605
View synthesis BibRef

Peter, P.[Pascal], Hoffmann, S.[Sebastian], Nedwed, F.[Frank], Hoeltgen, L.[Laurent], Weickert, J.[Joachim],
Evaluating the true potential of diffusion-based inpainting in a compression context,
SP:IC(46), No. 1, 2016, pp. 40-53.
Elsevier DOI 1606
Diffusion inpainting BibRef

Wei, Y.W.[Yin-Wei], Liu, S.G.[Shi-Guang],
Domain-based structure-aware image inpainting,
SIViP(10), No. 5, May 2016, pp. 911-919.
WWW Link. 1608
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Oliver, M.[Maria], Haro, G.[Gloria], Dimiccoli, M.[Mariella], Mazin, B.[Baptiste], Ballester, C.[Coloma],
A Computational Model for Amodal Completion,
JMIV(56), No. 3, November 2016, pp. 511-534.
Springer DOI 1609
BibRef

Yin, G.H.[Gao-Hong], Mariethoz, G.[Gregoire], McCabe, M.F.[Matthew F.],
Gap-Filling of Landsat 7 Imagery Using the Direct Sampling Method,
RS(9), No. 1, 2017, pp. xx-yy.
DOI Link 1702
BibRef

Cao, J.J.[Jun-Jie], Zhou, J.[Jun], Liu, X.P.[Xiu-Ping], Wang, W.M.[Wei-Ming], Tao, P.P.[Ping-Ping], Wang, J.[Jun],
Low-rank image completion with entropy features,
MVA(28), No. 1-2, February 2017, pp. 129-139.
Springer DOI 1702
BibRef

Gao, C.Y.[Cheng-Ying], Luo, Y.M.[Yan-Mei], Wu, H.F.[He-Feng], Wang, D.[Dong],
Data-driven image completion for complex objects,
SP:IC(57), No. 1, 2017, pp. 21-32.
Elsevier DOI 1709
Image inpainting BibRef

Yang, X.H.[Xiu-Hong], Guo, B.L.[Bao-Long],
Fractional-order tensor regularisation for image inpainting,
IET-IPR(11), No. 9, September 2017, pp. 734-745.
DOI Link 1709
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Galerne, B.[Bruno], Leclaire, A.[Arthur],
Texture Inpainting Using Efficient Gaussian Conditional Simulation,
SIIMS(10), No. 3, 2017, pp. 1446-1474.
DOI Link 1710
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And:
An Algorithm for Gaussian Texture Inpainting,
IPOL(7), 2017, pp. 262-277.
DOI Link 1710
Code, Inpainting. BibRef

Ogawa, T.[Takahiro], Tanaka, A.[Akira], Haseyama, M.[Miki],
Wiener-Based Inpainting Quality Prediction,
IEICE(E100-D), No. 10, October 2017, pp. 2614-2626.
WWW Link. 1710
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Le Pendu, M., Jiang, X., Guillemot, C.[Christine],
Light Field Inpainting Propagation via Low Rank Matrix Completion,
IP(27), No. 4, April 2018, pp. 1981-1993.
IEEE DOI 1802
cameras, image capture, image colour analysis, image denoising, image motion analysis, image reconstruction, image restoration, low rank matrix completion BibRef

Le Pendu, M., Guillemot, C., Smolic, A.,
High Dynamic Range Light Fields via Weighted Low Rank Approximation,
ICIP18(1728-1732)
IEEE DOI 1809
Cameras, Minimization, Dynamic range, Feedback, Approximation algorithms, High Dynamic Range (HDR), Light Fields, Weighted Low Rank Approximation BibRef

Yan, L.[Lin], Roy, D.P.[David P.],
Large-Area Gap Filling of Landsat Reflectance Time Series by Spectral-Angle-Mapper Based Spatio-Temporal Similarity (SAMSTS),
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link 1805
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Cheung, C.H.[Chi Ho], Ngan, K.N.[King Ngi], Sheng, L.[Lu],
Spatio-Temporal Disocclusion Filling Using Novel Sprite Cells,
MultMed(20), No. 6, June 2018, pp. 1376-1391.
IEEE DOI 1805
Cameras, Distortion, Filling, Image color analysis, Rendering (computer graphics), Sprites (computer), 3-D, inpainting BibRef

Wang, C.Y.[Chao-Yue], Xu, C.[Chang], Wang, C.H.[Chao-Hui], Tao, D.C.[Da-Cheng],
Perceptual Adversarial Networks for Image-to-Image Transformation,
IP(27), No. 8, August 2018, pp. 4066-4079.
IEEE DOI 1806
Such as a rainy image to its de-rained counterpart. Inpainting. Feature extraction, Image resolution, Loss measurement, Semantics, Task analysis, Training, image-to-image transformation BibRef

Bousefsaf, F.[Frédéric], Tamaazousti, M.[Mohamed], Said, S.H.[Souheil Hadj], Michel, R.[Rémi],
Image completion using multispectral imaging,
IET-IPR(12), No. 7, July 2018, pp. 1164-1174.
DOI Link 1806
BibRef

Ding, D.[Ding], Ram, S.[Sundaresh], Rodriguez, J.J.[Jeffrey J.],
Perceptually aware image inpainting,
PR(83), 2018, pp. 174-184.
Elsevier DOI 1808
Exemplar-based image inpainting, Object removal, PAMSE, Texture synthesis, Geometric structure propagation BibRef

Huang, J., Dragotti, P.L.[Pier Luigi],
Photo Realistic Image Completion via Dense Correspondence,
IP(27), No. 11, November 2018, pp. 5234-5247.
IEEE DOI 1809
image colour analysis, image matching, image retrieval, interpolation, realistic images, input image, exemplar image, EM algorithm BibRef

Boscain, U.V.[Ugo V.], Chertovskih, R.[Roman], Gauthier, J.P.[Jean-Paul], Prandi, D.[Dario], Remizov, A.[Alexey],
Highly Corrupted Image Inpainting Through Hypoelliptic Diffusion,
JMIV(60), No. 8, October 2018, pp. 1231-1245.
Springer DOI 1810
BibRef

Brooks, E.B.[Evan B.], Wynne, R.H.[Randolph H.], Thomas, V.A.[Valerie A.],
Using Window Regression to Gap-Fill Landsat ETM+ Post SLC-Off Data,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811
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Zhang, K., Crooks, E., Orlando, A.,
Compensated Convexity Methods for Approximations and Interpolations of Sampled Functions in Euclidean Spaces: Applications to Contour Lines, Sparse Data, and Inpainting,
SIIMS(11), No. 4, 2018, pp. 2368-2428.
DOI Link 1901
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He, K.[Kai], Shen, C.N.[Cheng-Nan], Niu, J.H.[Jun-Hui], Huang, W.R.[Wan-Rong],
Effective inpainting method for natural textures with gradually changed illumination,
SIViP(13), No. 1, February 2019, pp. 69-77.
WWW Link. 1901
BibRef

Ding, D., Ram, S., Rodríguez, J.J.,
Image Inpainting Using Nonlocal Texture Matching and Nonlinear Filtering,
IP(28), No. 4, April 2019, pp. 1705-1719.
IEEE DOI 1901
image colour analysis, image filtering, image representation, image restoration, image texture, nonlocal texture matching, object removal BibRef

Huang, J.B., Kang, S. B., Ahuja, N., Kopf, J.,
Image completion using planar structure guidance,
TOG(33), 2015, pp. 129.
PDF File. BibRef 1500

Wali, S.[Samad], Zhang, H.[Huayan], Chang, H.[Huibin], Wu, C.L.[Chun-Lin],
A new adaptive boosting total generalized variation (TGV) technique for image denoising and inpainting,
JVCIR(59), 2019, pp. 39-51.
Elsevier DOI 1903
Total generalized variation, Boosting technique, Image denoising, Image inpainting, Primal-dual method BibRef

Cao, Y.[Ying], Sun, L.[Lijuan], Han, C.[Chong], Guo, J.[Jian],
A Novel Completion Algorithm for Color Images and Videos Based on Tensor Train Rank,
IEICE(E102-D), No. 3, March 2019, pp. 609-619.
WWW Link. 1904
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Liang, S.[Song], Li, L.[Leida], Hu, B.[Bo], Zhang, J.Y.[Jian-Ying],
Quality Index for Benchmarking Image Inpainting Algorithms with Guided Regional Statistics,
IEICE(E102-D), No. 7, July 2019, pp. 1430-1433.
WWW Link. 1907
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Li, H., Li, G., Lin, L., Yu, H., Yu, Y.,
Context-Aware Semantic Inpainting,
Cyber(49), No. 12, December 2019, pp. 4398-4411.
IEEE DOI 1909
Semantics, Generative adversarial networks, Loss measurement, Kernel, Convolution, Feature extraction, image inpainting BibRef

Qin, C., Zhou, Q., Cao, F., Dong, J., Zhang, X.,
Flexible Lossy Compression for Selective Encrypted Image With Image Inpainting,
CirSysVideo(29), No. 11, November 2019, pp. 3341-3355.
IEEE DOI 1911
Image coding, Encryption, Image reconstruction, Receivers, Transforms, Cloud computing, Lossy compression, image encryption, image inpainting BibRef

Isogawa, M.[Mariko], Mikami, D.[Dan], Takahashi, K.[Kosuke], Iwai, D.[Daisuke], Sato, K.[Kosuke], Kimata, H.[Hideaki],
Which is the Better Inpainted Image? Training Data Generation Without Any Manual Operations,
IJCV(127), No. 11-12, December 2019, pp. 1751-1766.
Springer DOI 1911
BibRef

Luo, G.B.[Gui-Bo], Zhu, Y.S.[Yue-Sheng], Guo, B.[Biao],
Fast MRF-Based Hole Filling for View Synthesis,
SPLetters(25), No. 1, January 2018, pp. 75-79.
IEEE DOI 1801
Markov processes, computational complexity, image texture, rendering (computer graphics), video signal processing, view synthesis BibRef

Luo, G.B.[Gui-Bo], Zhu, Y.S.[Yue-Sheng], Weng, Z.Y.[Zhen-Yu], Li, Z.T.[Zhao-Tian],
A Disocclusion Inpainting Framework for Depth-Based View Synthesis,
PAMI(42), No. 6, June 2020, pp. 1289-1302.
IEEE DOI 2005
Image reconstruction, Correlation, Reconstruction algorithms, Cameras, Motion compensation, improved background reconstruction BibRef

Huang, Z.L.[Zhi-Lin], Qin, C.J.[Chu-Jun], Li, L.[Lei], Liu, R.X.[Rui-Xin], Zhu, Y.S.[Yue-Sheng],
Confidence-based Global Attention Guided Network for Image Inpainting,
MMMod21(I:200-212).
Springer DOI 2106
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Li, X.P., Liu, Q., So, H.C.,
Rank-One Matrix Approximation With lp-Norm for Image Inpainting,
SPLetters(27), 2020, pp. 680-684.
IEEE DOI 2005
Matrix converters, Robustness, Minimization, Matrix decomposition, Matching pursuit algorithms, Convergence, matching pursuit BibRef

Zheng, J., Yang, P., Yang, X., Chen, S.,
Truncated Low-Rank and Total p Variation Constrained Color Image Completion and its Moreau Approximation Algorithm,
IP(29), 2020, pp. 7861-7874.
IEEE DOI 2007
Tensile stress, TV, Color, Image color analysis, Approximation algorithms, Correlation, Machine learning, Moreau approximation BibRef

Tanwar, V.K.[Vishesh Kumar], Raman, B.[Balasubramanian], Rajput, A.S.[Amitesh Singh], Bhargava, R.[Rama],
2DInpaint: A novel privacy-preserving scheme for image inpainting in an encrypted domain over the cloud,
SP:IC(88), 2020, pp. 115931.
Elsevier DOI 2009
Privacy-preserving, Visual cryptography, Bicubic interpolation, Object removal, Ramp secret sharing BibRef

Takahashi, T.[Tomohiro], Konishi, K.[Katsumi], Uruma, K.[Kazunori], Furukawa, T.[Toshihiro],
Multiple Subspace Model and Image-Inpainting Algorithm Based on Multiple Matrix Rank Minimization,
IEICE(E103-D), No. 12, December 2020, pp. 2682-2692.
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Sarafanov, M.[Mikhail], Kazakov, E.[Eduard], Nikitin, N.O.[Nikolay O.], Kalyuzhnaya, A.V.[Anna V.],
A Machine Learning Approach for Remote Sensing Data Gap-Filling with Open-Source Implementation: An Example Regarding Land Surface Temperature, Surface Albedo and NDVI,
RS(12), No. 23, 2020, pp. xx-yy.
DOI Link 2012
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Liu, W.R.[Wei-Rong], Cao, C.R.[Cheng-Rui], Liu, J.[Jie], Ren, C.W.[Chen-Wen], Wei, Y.L.[Yu-Lin], Guo, H.L.[Hong-Lin],
Fine-grained image inpainting with scale-enhanced generative adversarial network,
PRL(143), 2021, pp. 81-87.
Elsevier DOI 2102
Generative adversarial networks, Fine-grained constraint, Edge loss BibRef

Wang, N., Wang, W., Hu, W., Fenster, A., Li, S.,
Thanka Mural Inpainting Based on Multi-Scale Adaptive Partial Convolution and Stroke-Like Mask,
IP(30), 2021, pp. 3720-3733.
IEEE DOI 2103
Convolution, Feature extraction, Image restoration, Training, Kernel, Image reconstruction, Cultural differences, Image inpainting, mask generation BibRef

Black, S.[Samuel], Keshavarz, S.[Somayeh], Souvenir, R.[Richard],
Evaluation of Inpainting and Augmentation for Censored Image Queries,
IJCV(129), No. 4, April 2021, pp. 977-997.
Springer DOI 2104
BibRef
Earlier: Xu, S.X.[Shun-Xin], Liu, D.[Dong], Xiong, Z.W.[Zhi-Wei],
E2I: Generative Inpainting From Edge to Image,
CirSysVideo(31), No. 4, April 2021, pp. 1308-1322.
IEEE DOI 2104
BibRef
Earlier:
Evaluation of Image Inpainting for Classification and Retrieval,
WACV20(1049-1058)
IEEE DOI 2006
Image edge detection, Generative adversarial networks, Task analysis, image inpainting. Image reconstruction, Generators, Graphics processing units, Decoding, Task analysis, Learning systems BibRef

Zhu, M.Y.[Man-Yu], He, D.L.[Dong-Liang], Li, X.[Xin], Li, C.[Chao], Li, F.[Fu], Liu, X.[Xiao], Ding, E.[Errui], Zhang, Z.X.[Zhao-Xiang],
Image Inpainting by End-to-End Cascaded Refinement With Mask Awareness,
IP(30), 2021, pp. 4855-4866.
IEEE DOI 2105
BibRef

Phutke, S.S.[Shruti S.], Murala, S.[Subrahmanyam],
Diverse Receptive Field Based Adversarial Concurrent Encoder Network for Image Inpainting,
SPLetters(28), 2021, pp. 1873-1877.
IEEE DOI 2110
Training, Computer architecture, Convolution, Computational complexity, Feature extraction, Task analysis, image inpainting BibRef

Wadhwa, G.[Gourav], Dhall, A.[Abhinav], Murala, S.[Subrahmanyam], Tariq, U.[Usman],
Hyperrealistic Image Inpainting with Hypergraphs,
WACV21(3911-3920)
IEEE DOI 2106
Convolution, Logic gates, Generators, Filling, Task analysis BibRef


Zhang, S.Y.[Sheng-Yu], Jiang, T.[Tan], Huang, Q.H.[Qing-Hao], Tan, Z.[Ziqi], Kuang, K.[Kun], Zhao, Z.[Zhou], Tang, S.L.[Si-Liang], Yu, J.[Jin], Yang, H.X.[Hong-Xia], Yang, Y.[Yi], Wu, F.[Fei],
Grounded, Controllable and Debiased Image Completion with Lexical Semantics,
CiV21(1748-1751)
IEEE DOI 2109
Measurement, Visualization, Semantics, Process control, Cognition BibRef

Xiao, Z.J.[Zhi-Jiao], Li, D.L.[Dong-Lun],
Generative Image Inpainting by Hybrid Contextual Attention Network,
MMMod21(I:162-173).
Springer DOI 2106
BibRef

Zhou, X.Q.[Xiao-Qiang], Li, J.J.[Jun-Jie], Wang, Z.L.[Zi-Lei], He, R.[Ran], Tan, T.N.[Tie-Niu],
Image Inpainting with Contrastive Relation Network,
ICPR21(4420-4427)
IEEE DOI 2105
Training, Image segmentation, Image texture, Semantics, Coherence, Generators BibRef

Navasardyan, S.[Shant], Ohanyan, M.[Marianna],
Image Inpainting with Onion Convolutions,
ACCV20(II:3-19).
Springer DOI 2103
BibRef

Wang, Y.[Yi], Chen, Y.C.[Ying-Cong], Tao, X.[Xin], Jia, J.Y.[Jia-Ya],
Vcnet: A Robust Approach to Blind Image Inpainting,
ECCV20(XXV:752-768).
Springer DOI 2011
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Liao, L.[Liang], Xiao, J.[Jing], Wang, Z.[Zheng], Lin, C.W.[Chia-Wen], Satoh, S.[Shin'ichi],
Guidance and Evaluation: Semantic-aware Image Inpainting for Mixed Scenes,
ECCV20(XXVII:683-700).
Springer DOI 2011
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Zhang, L., Kumar, P., Sabharwal, M., Kuzma, A., Shi, J.,
Image Compression with Laplacian Guided Scale Space Inpainting,
ICIP20(1631-1635)
IEEE DOI 2011
Image Inpainting, Super-Resolution BibRef

Kasaraneni, S.H., Mishra, A.,
Image Completion And Extrapolation With Contextual Cycle Consistency,
ICIP20(1901-1905)
IEEE DOI 2011
Extrapolation, Generators, Image reconstruction, Generative adversarial networks, Training, Shape, Image Completion, Image Outpainting BibRef

Deng, Y., Wang, J.,
Image Inpainting Using Parallel Network,
ICIP20(1088-1092)
IEEE DOI 2011
Pipelines, Image reconstruction, Training, Gaussian noise, Standards, Decoding, Image Completion, Random Noise BibRef

Li, S.Y.[Si-Yuan], Lu, L.[Lu], Zhang, Z.Q.[Zhi-Qiang], Cheng, X.[Xin], Xu, K.P.[Ke-Peng], Yu, W.X.[Wen-Xin], He, G.[Gang], Zhou, J.J.[Jin-Jia], Yang, Z.[Zhuo],
Interactive Separation Network For Image Inpainting,
ICIP20(1008-1012)
IEEE DOI 2011
Convolution, Image resolution, Semantics, Image edge detection, Generators, Computational modeling, Indexes, Image Inpainting, Feature Fusion BibRef

Weng, S.C.[Shu-Chen], Li, W.B.[Wen-Bo], Li, D.[Dawei], Jin, H.X.[Hong-Xia], Shi, B.X.[Bo-Xin],
Conditional Image Repainting via Semantic Bridge and Piecewise Value Function,
ECCV20(IX:467-482).
Springer DOI 2011
BibRef

Liu, H.Y.[Hong-Yu], Jiang, B.[Bin], Song, Y.B.[Yi-Bing], Huang, W.[Wei], Yang, C.[Chao],
Rethinking Image Inpainting via a Mutual Encoder-decoder with Feature Equalizations,
ECCV20(II:725-741).
Springer DOI 2011
BibRef

Qiu, J.Y.[Jia-Yan], Yang, Y.D.[Yi-Ding], Wang, X.C.[Xin-Chao], Tao, D.C.[Da-Cheng],
Hallucinating Visual Instances in Total Absentia,
ECCV20(V:264-282).
Springer DOI 2011
BibRef

Babiloni, F.[Francesca], Marras, I.[Ioannis], Slabaugh, G.[Gregory], Zafeiriou, S.P.[Stefanos P.],
TESA: Tensor Element Self-Attention via Matricization,
CVPR20(13942-13951)
IEEE DOI 2008
Correlation, Computer vision, Matrix decomposition, Task analysis, Feature extraction, Computer architecture BibRef

Zamir, S.W., Arora, A., Khan, S., Hayat, M., Khan, F.S., Yang, M., Shao, L.,
CycleISP: Real Image Restoration via Improved Data Synthesis,
CVPR20(2693-2702)
IEEE DOI 2008
Cameras, Image color analysis, Noise reduction, AWGN, Image denoising, Sensors, Pipelines BibRef

Yi, Z., Tang, Q., Azizi, S., Jang, D., Xu, Z.,
Contextual Residual Aggregation for Ultra High-Resolution Image Inpainting,
CVPR20(7505-7514)
IEEE DOI 2008
Generators, Image resolution, Training, Computational modeling, Logic gates, Visualization, Feature extraction BibRef

Uricár, M., Ulicný, J., Sistu, G., Rashed, H., Krížek, P., Hurych, D., Vobecký, A., Yogamani, S.,
Desoiling Dataset: Restoring Soiled Areas on Automotive Fisheye Cameras,
AutoNUE19(4273-4279)
IEEE DOI 2004
cameras, computer vision, feature extraction, image classification, image sensors, image sequences, image restoration BibRef

Liu, H., Jiang, B., Xiao, Y., Yang, C.,
Coherent Semantic Attention for Image Inpainting,
ICCV19(4169-4178)
IEEE DOI 2004
Code, Inpainting.
WWW Link. feature extraction, image coding, image recognition, image restoration, image segmentation, image texture, Painting BibRef

Zheng, C.X.[Chuan-Xia], Cham, T.J.[Tat-Jen], Cai, J.F.[Jian-Fei],
Pluralistic Image Completion,
CVPR19(1438-1447).
IEEE DOI 2002
BibRef

Zeng, Y.H.[Yan-Hong], Fu, J.[Jianlong], Chao, H.Y.[Hong-Yang], Guo, B.N.[Bai-Ning],
Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting,
CVPR19(1486-1494).
IEEE DOI 2002
BibRef

Grigorev, A.[Artur], Sevastopolsky, A.[Artem], Vakhitov, A.[Alexander], Lempitsky, V.[Victor],
Coordinate-Based Texture Inpainting for Pose-Guided Human Image Generation,
CVPR19(12127-12136).
IEEE DOI 2002
BibRef

Sagong, M.C.[Min-Cheol], Shin, Y.G.[Yong-Goo], Kim, S.W.[Seung-Wook], Park, S.[Seung], Ko, S.J.[Sung-Jea],
PEPSI: Fast Image Inpainting With Parallel Decoding Network,
CVPR19(11352-11360).
IEEE DOI 2002
BibRef

Xiong, W.[Wei], Yu, J.[Jiahui], Lin, Z.[Zhe], Yang, J.[Jimei], Lu, X.[Xin], Barnes, C.[Connelly], Luo, J.B.[Jie-Bo],
Foreground-Aware Image Inpainting,
CVPR19(5833-5841).
IEEE DOI 2002
BibRef

Fan, R., Wei, G., Zhang, Y., Bai, X.,
Weighted Schatten P-Norm Minimization with Local and Nonlocal Constraints for Noisy Image Completion,
ICIP19(2746-2750)
IEEE DOI 1910
WSNM, noisy image completion, analysis operator, NLSM, ADMM BibRef

Peter, P.,
Fast Inpainting-Based Compression: Combining Shepard Interpolation with Joint Inpainting and Prediction,
ICIP19(3557-3561)
IEEE DOI 1910
Image compression, inpainting, prediction BibRef

Augustin, M.[Matthias], Weickert, J.[Joachim], Andris, S.[Sarah],
Pseudodifferential Inpainting: The Missing Link Between PDE- and RBF-Based Interpolation,
SSVM19(67-78).
Springer DOI 1909
BibRef

Zhang, J.H.[Jia-Hui], Zhao, H.[Hao], Yao, A.B.[An-Bang], Chen, Y.R.[Yu-Rong], Zhang, L.[Li], Liao, H.[Hongen],
Efficient Semantic Scene Completion Network with Spatial Group Convolution,
ECCV18(XII: 749-765).
Springer DOI 1810
BibRef

Nandy, J.[Jay], Hsu, W.[Wynne], Lee, M.L.[Mong Li],
Normal Similarity Network for Generative Modelling,
ICIP18(1817-1821)
IEEE DOI 1809
Image reconstruction, Training, Computational modeling, Image generation, Data models, Non-parametric Training BibRef

Xu, S., Liu, D., Xiong, Z.,
Edge-guided generative adversarial network for image inpainting,
VCIP17(1-4)
IEEE DOI 1804
image coding, image restoration, adversarial loss, corrupted image, edge-guided generative adversarial network, image compression, Image inpainting BibRef

Ma, T.H., Lou, Y., Huang, T.Z., Zhao, X.L.,
Group-based truncated L1_2 model for image inpainting,
ICIP17(2079-2083)
IEEE DOI 1803
Approximation algorithms, Computational modeling, Convergence, Convex functions, Mathematical model, Measurement, Minimization, nonlocal self-similarity BibRef

Addesso, P., Dalla Mura, M., Condat, L., Restaino, R., Vivone, G., Picone, D., Chanussot, J.,
Hyperspectral image inpainting based on collaborative total variation,
ICIP17(4282-4286)
IEEE DOI 1803
Collaboration, Convex functions, Hyperspectral imaging, Image sensors, Noise measurement, Sensors, Collaborative Norms, Total Variation BibRef

Song, S., Yu, F., Zeng, A., Chang, A.X., Savva, M., Funkhouser, T.,
Semantic Scene Completion from a Single Depth Image,
CVPR17(190-198)
IEEE DOI 1711
Convolution, Geometry, Semantics, Shape, Solid modeling. BibRef

Qi, K.J.[Kai-Jie], Ji, R.R.[Rui-Rui], Yang, Y.X.[Yan-Xi], Zhang, F.[Fan],
Image inpainting with LS-SVM based on additive high order kernel,
ICIVC17(406-409)
IEEE DOI 1708
Additives, Data models, Kernel, Mathematical model, Predictive models, Support vector machines, Training data, LS-SVM, additive high order kernel, image, inpainting BibRef

Kottler, B., Bulatov, D., Schilling, H.,
Improving semantic orthophotos by a fast method based on harmonic inpainting,
PRRS16(1-5)
IEEE DOI 1704
harmonics BibRef

Baek, S.H., Choi, I., Kim, M.H.,
Multiview Image Completion with Space Structure Propagation,
CVPR16(488-496)
IEEE DOI 1612
BibRef

Adam, R.D.[Robin Dirk], Peter, P.[Pascal], Weickert, J.[Joachim],
Denoising by Inpainting,
SSVM17(121-132).
Springer DOI 1706
BibRef

Schneider, M.[Markus], Peter, P.[Pascal], Hoffmann, S.[Sebastian], Weickert, J.[Joachim], Meinhardt-Llopis, E.[Enric],
Gradients versus Grey Values for Sparse Image Reconstruction and Inpainting-Based Compression,
ACIVS16(1-13).
Springer DOI 1611
BibRef

Miandji, E., Unger, J.,
On nonlocal image completion using an ensemble of dictionaries,
ICIP16(2519-2523)
IEEE DOI 1610
Compressed sensing BibRef

Hirvola, O., Viitanen, T., Sintunata, V., Aoki, T.,
Improved image quality in fast inpainting with omnidirectional filling,
ICIVC16(31-35)
IEEE DOI 1610
computational complexity BibRef

Padalkar, M.G.[Milind G.], Joshi, M.V.[Manjunath V.], Khatri, N.[Nilay],
Simultaneous Inpainting and Super-resolution Using Self-learning,
BMVC15(xx-yy).
DOI Link 1601
BibRef

Maugey, T.[Thomas], Frossard, P.[Pascal], Guillemot, C.[Christine],
Guided inpainting with cluster-based auxiliary information,
ICIP15(1702-1706)
IEEE DOI 1512
Guided inpainting; auxiliary information; clustering BibRef

Thaskani, S.[Sandhya], Karande, S.[Shirish], Lodha, S.[Sachin],
Multi-view image inpainting with sparse representations,
ICIP15(1414-1418)
IEEE DOI 1512
inpainting; multiview; sparse representation BibRef

Tiefenbacher, P.[Philipp], Bogischef, V.[Viktor], Merget, D.[Daniel], Rigoll, G.[Gerhard],
Subjective and objective evaluation of image inpainting quality,
ICIP15(447-451)
IEEE DOI 1512
PSNR; SSIM; inpainting; quality; user study BibRef

Degraux, K., Cambareri, V., Jacques, L., Geelen, B., Blanch, C., Lafruit, G.,
Generalized inpainting method for hyperspectral image acquisition,
ICIP15(315-319)
IEEE DOI 1512
CMOS BibRef

Lguensat, R.[Redouane], Tandeo, P.[Pierre], Fablet, R.[Ronan], Ailliot, P.[Pierre],
Non-parametric Ensemble Kalman methods for the inpainting of noisy dynamic textures,
ICIP15(4288-4292)
IEEE DOI 1512
Data assimilation BibRef

Chapala, L., Patzcuaro, L., Cuitzeo, L., Lopez-Caloca, A.A.,
Inpainting restoration for inland waters Mexico ecosystems,
MultiTemp15(1-4)
IEEE DOI 1511
ecology BibRef

Yu, W.[Wei], Heber, S.[Stefan], Pock, T.[Thomas],
Learning Reaction-Diffusion Models for Image Inpainting,
GCPR15(356-367).
Springer DOI 1511
BibRef

Reel, S., Wong, K.C.P., Cheung, G., Dooley, L.S.,
Disocclusion hole-filling in DIBR-synthesized images using multi-scale template matching,
VCIP14(494-497)
IEEE DOI 1504
image enhancement BibRef

Liu, H.J.[Heng-Jin], Jia, H.Z.[Hui-Zhu], Xie, X.D.[Xiao-Dong], Kong, X.Y.[Xiang-Yu], Bai, Y.C.[Yuan-Chao], Gao, W.[Wen],
Layer-based image completion by poisson surface reconstruction,
VCIP14(438-441)
IEEE DOI 1504
Poisson equation BibRef

Hoeltgen, L.[Laurent], Harris, I.[Isaac], Breuß, M.[Michael], Kleefeld, A.[Andreas],
Analytic Existence and Uniqueness Results for PDE-Based Image Reconstruction with the Laplacian,
SSVM17(66-79).
Springer DOI 1706
BibRef

Dachsel, R.[Robert], Breuß, M.[Michael], Hoeltgen, L.[Laurent],
The Classic Wave Equation Can Do Shape Correspondence,
CAIP17(I: 264-275).
Springer DOI 1708
BibRef
Earlier:
Shape Matching by Time Integration of Partial Differential Equations,
SSVM17(669-680).
Springer DOI 1706
BibRef

Peter, P.[Pascal], Hoffmann, S.[Sebastian], Nedwed, F.[Frank], Hoeltgen, L.[Laurent], Weickert, J.[Joachim],
From Optimised Inpainting with Linear PDEs Towards Competitive Image Compression Codecs,
PSIVT15(63-74).
Springer DOI 1602
BibRef

Hoeltgen, L.[Laurent], Weickert, J.[Joachim],
Why Does Non-binary Mask Optimisation Work for Diffusion-Based Image Compression?,
EMMCVPR15(85-98).
Springer DOI 1504
BibRef

Hoffmann, S.[Sebastian], Plonka, G.[Gerlind], Weickert, J.[Joachim],
Discrete Green's Functions for Harmonic and Biharmonic Inpainting with Sparse Atoms,
EMMCVPR15(169-182).
Springer DOI 1504
BibRef

Koloda, J.[Jan], Seiler, J.[Jurgen], Kaup, A.[Andre], Sanchez, V.[Victoria], Peinado, A.M.[Antonio M.],
An error-based recursive filling ordering for image error concealment,
ICIP14(2517-2521)
IEEE DOI 1502
Boats BibRef

Shan, H.Q.[Han-Qiang], Chien, W.D.[Wei-Da], Wang, H.M.[Hung-Ming], Yang, J.F.[Jar-Ferr],
A homography-based inpainting algorithm for effective depth-image-based rendering,
ICIP14(5412-5416)
IEEE DOI 1502
Computer vision BibRef

Ge, S.M.[Shi-Ming], Xie, K.X.[Kai-Xuan], Yang, R.[Rui], Shi, Z.Q.[Zhi-Qiang],
Image Completion Using Global Patch Matching and Optimal Seam Synthesis,
ICPR14(871-876)
IEEE DOI 1412
Coherence BibRef

Hao, N.[Ning], Kilmer, M.E.[Misha E.],
Novel Methods for Multilinear Data Completion and De-noising Based on Tensor-SVD,
CVPR14(3842-3849)
IEEE DOI 1409
BibRef

Muddala, S.M., Sjostrom, M., Olsson, R.,
Depth-based inpainting for disocclusion filling,
3DTV-CON14(1-4)
IEEE DOI 1409
image classification BibRef

Li, W.[Wei], Zhao, L.[Lei], Xu, D.Q.[Duan-Qing], Lu, D.M.[Dong-Ming],
A Non-local Method for Robust Noisy Image Completion,
ECCV14(IV: 61-74).
Springer DOI 1408
BibRef

Narendra, V., Gupta, S.,
Restoration of Partial Color Artifact and Blotches using histogram matching and sparse technique,
NCVPRIPG13(1-4)
IEEE DOI 1408
image colour analysis BibRef

Nguyen, H.M., Wunsche, B.C., Delmas, P., Lutteroth, C.,
Parameter optimisation for texture completion,
IVCNZ13(226-230)
IEEE DOI 1402
image reconstruction BibRef

Bao, C.L.[Cheng-Long], Cai, J.F.[Jian-Feng], Ji, H.[Hui],
Fast Sparsity-Based Orthogonal Dictionary Learning for Image Restoration,
ICCV13(3384-3391)
IEEE DOI 1403
dictionary learning; image restoration; sparse representation BibRef

Li, W.[Wei], Zhao, L.[Lei], Xu, D.Q.[Duan-Qing], Lu, D.M.[Dong-Ming],
Efficient image completion method based on alternating direction theory,
ICIP13(700-703)
IEEE DOI 1402
Approximation algorithms BibRef

Martinez-Noriega, R., Roumy, A.,
Prior and macro-filling order for image completion,
ICIP13(719-723)
IEEE DOI 1402
Bismuth BibRef

Yu, W.X.[Wen-Xin], Wang, W.C.[Wei-Chen], He, G.[Gang], Goto, S.[Satoshi],
Combined hole-filling with spatial and temporal prediction,
ICIP13(3196-3200)
IEEE DOI 1402
Hole-filling BibRef

Shi, J.G.[Jin-Gang], Qi, C.[Chun],
Sparse modeling based image inpainting with local similarity constraint,
ICIP13(1371-1375)
IEEE DOI 1402
Image inpainting BibRef

Trung, D.T.[Dang Thanh], Beghdadi, A.[Azeddine], Larabi, C.[Chaker],
Perceptual quality assessment for color image inpainting,
ICIP13(398-402)
IEEE DOI 1402
BibRef
Earlier: A1, A3, A2:
Multi-resolution patch and window-based priority for digital image inpainting problem,
IPTA12(280-284)
IEEE DOI 1503
Coherence. image representation BibRef

Zarif, S.[Sameh], Faye, I.[Ibrahima], Rohaya, D.[Dayang],
Fast and efficient multichannel image completion using local similarity,
ICPR12(3116-3119).
WWW Link. 1302
BibRef

Kawai, N.[Norihiko], Yokoya, N.[Naokazu],
Image inpainting considering symmetric patterns,
ICPR12(2744-2747).
WWW Link. 1302
BibRef

Su, Z.[Zhuo], Yang, X.[Xue], Luo, X.N.[Xiao-Nan], Wang, D.[Dong],
Local color editing using color classification and boundary inpainting,
ICPR12(3196-3199).
WWW Link. 1302
BibRef

Majumdar, A., Ward, R.K., Aboulnasr, T.,
A focuss based method for low rank matrix recovery,
ICIP12(1713-1716).
IEEE DOI 1302
(FOCally Under-determined System Solver) e.g. inpainting. BibRef

Iwata, K.[Kenichi], Hashimoto, R.[Ryoji], Mochizuki, S.[Seiji], Aizawa, K.[Kiyoharu],
Intra texture prediction based on repetitive pixel replenishment,
ICIP12(2933-2936).
IEEE DOI 1302
BibRef

Takahashi, T.[Tomohiro], Konishi, K.[Katsumi], Uruma, K., Furukawa, T.[Toshihiro],
Adaptive image inpainting algorithm based on generalized principal component analysis,
IVMSP16(1-5)
IEEE DOI 1608
Algorithm design and analysis BibRef

Takahashi, T.[Tomohiro], Konishi, K.[Katsumi], Furukawa, T.[Toshihiro],
Rank minimization approach to image inpainting using null space based alternating optimization,
ICIP12(1717-1720).
IEEE DOI 1302
BibRef

Ramirez, C.[Carlos], Argaez, M.[Miguel], Jaimes, A.[Aline], Tweedie, C.E.[Craig E.],
Image inpainting in micrometeorological analysis,
ICIP12(1725-1728).
IEEE DOI 1302
BibRef

Hung, K.W.[Kwok-Wai], Siu, W.C.[Wan-Chi],
Depth-assisted nonlocal means hole filling for novel view synthesis,
ICIP12(2737-2740).
IEEE DOI 1302
BibRef

Oncu, A.I.[Alexandra Ioana], Deger, F.[Ferdinand], Hardeberg, J.Y.[Jon Yngve],
Evaluation of Digital Inpainting Quality in the Context of Artwork Restoration,
VISART12(I: 561-570).
Springer DOI 1210
BibRef

Silberman, N.[Nathan], Shapira, L.[Lior], Gal, R.[Ran], Kohli, P.[Pushmeet],
A Contour Completion Model for Augmenting Surface Reconstructions,
ECCV14(III: 488-503).
Springer DOI 1408
BibRef

Shekhovtsov, A.[Alexander], Kohli, P.[Pushmeet], Rother, C.[Carsten],
Curvature Prior for MRF-based Segmentation and Shape Inpainting,
DAGM12(41-51).
Springer DOI 1209
BibRef

Ramírez-Acosta, A.A.[Alejandro Alvaro], García-Vázquez, M.S.[Mireya S.], Nakano, M.[Mariko],
Adaptive Spatial Concealment of Damaged Coded Images,
MCPR12(94-106).
Springer DOI 1208
BibRef

De, C.[Chandralekha], Shih, F.Y.[Frank Y.],
Improved image inpainting using maximum value edge detector,
Southwest12(77-80).
IEEE DOI 1205
BibRef

Arora, N., Kalra, P.,
Interactive Image Restoration Using Inpainting and Denoising,
NCVPRIPG11(219-222).
IEEE DOI 1205
BibRef

Hosoi, T.[Tomoki], Kobayashi, K.[Koji], Ito, K.[Koichi], Aoki, T.[Takafumi],
Fast image inpainting using similarity of subspace method,
ICIP11(3441-3444).
IEEE DOI 1201
BibRef

Wang, Y.X.[Yu-Xiong], Zhang, Y.J.[Yu-Jin],
Image inpainting via Weighted Sparse Non-negative Matrix Factorization,
ICIP11(3409-3412).
IEEE DOI 1201
BibRef

Sun, Y.Q.[Yu-Qiu], Koh, M.S., Rodriguez-Marek, E., Talarico, C.,
A new infrared image fusion method using empirical mode decomposition and inpainting,
ICIP11(1477-1480).
IEEE DOI 1201
BibRef

Lim, H.[Hwasup], Kim, Y.S.[Yong Sun], Lee, S.K.[Seung-Kyu], Choi, O.[Ouk], Kim, J.D.K.[James D. K.], Kim, C.Y.[Chang-Yeong],
Bi-layer inpainting for novel view synthesis,
ICIP11(1089-1092).
IEEE DOI 1201
BibRef

Mainberger, M.[Markus], Hoffmann, S.[Sebastian], Weickert, J.[Joachim], Tang, C.H.[Ching Hoo], Johannsen, D.[Daniel], Neumann, F.[Frank], Doerr, B.[Benjamin],
Optimising Spatial and Tonal Data for Homogeneous Diffusion Inpainting,
SSVM11(26-37).
Springer DOI 1201
BibRef

Hahn, J.Y.[Joo-Young], Chung, G.J.[Ginmo J.], Wang, Y.[Yu], Tai, X.C.[Xue-Cheng],
Fast Algorithms for p-elastica Energy with the Application to Image Inpainting and Curve Reconstruction,
SSVM11(169-182).
Springer DOI 1201
BibRef

Ahipo, Y., Auroux, D., Cohen, L.D., Masmoudi, M.,
A Hybrid Scheme for Contour Detection and Completion Based on Topological Gradient and Fast Marching Algorithms: Application to Inpainting and Segmentation,
SSVM11(386-397).
Springer DOI 1201
BibRef

Sun, D.[Di], Yuan, L.[Li], Zhang, Y.[Yi], Zhang, J.W.[Jia-Wan], Pan, G.[Gang],
Structure-Aware Image Completion with Texture Propagation,
ICIG11(199-204).
IEEE DOI 1109
BibRef

Landström, A.[Anders], Nellros, F.[Frida], Jonsson, H.[Hĺkan], Thurley, M.J.[Matthew J.],
Image Reconstruction by Prioritized Incremental Normalized Convolution,
SCIA11(176-185).
Springer DOI 1105
Incremental hole filling for 3D data BibRef

Li, Y.[Yin], Zhou, Y.[Yue], Yan, J.C.[Jun-Chi], Yang, J.[Jie], He, X.J.[Xiang-Jian],
Tensor error correction for corrupted values in visual data,
ICIP10(2321-2324).
IEEE DOI 1009
BibRef

Venkatesh, M.V.[M. Vijay], Cheung, S.C.S.[Sen-Ching S.],
Eye tracking based perceptual image inpainting quality analysis,
ICIP10(1109-1112).
IEEE DOI 1009
BibRef

Liu, J.[Jie], Zhang, S.[Shuwu], Yang, W.Y.[Wu-Yi], Li, H.P.[He-Ping],
A Fast Image Inpainting Method Based on Hybrid Similarity-Distance,
ICPR10(4432-4435).
IEEE DOI 1008
BibRef

Hsin, H.F.[Heng-Feng], Leou, J.J.[Jin-Jang], Lin, C.S.[Cheng-Shian], Chen, H.Y.[Hsuan-Ying],
Image Inpainting Using Structure-Guided Priority Belief Propagation and Label Transformations,
ICPR10(4492-4495).
IEEE DOI 1008
BibRef

Zhou, J.[Jun], Robles-Kelly, A.[Antonio],
Image Inpainting Based on Local Optimisation,
ICPR10(4440-4443).
IEEE DOI 1008
BibRef

Dudek, R.[Roman], Cuenca, C.[Carmelo], Quintana, F.[Francisca],
An Automatic Optical Flow Based Method for the Detection and Restoration of Non-repetitive Damaged Zones in Image Sequences,
IVIC09(800-810).
Springer DOI 0911
BibRef

Ardis, P.A.[Paul A.], Brown, C.M.[Christopher M.],
Self-Similarity Inpainting,
ICIP09(2789-2792).
IEEE DOI 0911
BibRef

Ghoniem, M.[Mahmoud], Chahir, Y.[Youssef], El Moataz, A.[Abderrahim],
Geometric and texture inpainting based on discrete regularization on graphs,
ICIP09(1349-1352).
IEEE DOI 0911
BibRef

Guo, H.[Hao],
Aesthetic Photo Retouching with an Image Inpainting Algorithm,
CISP09(1-5).
IEEE DOI 0910
BibRef

Weickert, J.[Joachim],
Inpainting Ideas for Image Compression,
IbPRIA09(15).
Springer DOI 0906
BibRef

Kawai, N.[Norihiko], Sato, T.[Tomokazu], Yokoya, N.[Naokazu],
Image Inpainting Considering Brightness Change and Spatial Locality of Textures and Its Evaluation,
PSIVT09(271-282).
Springer DOI 0901
BibRef

Ndjiki-Nya, P.[Patrick], Köppel, M.[Martin], Doshkov, D.[Dimitar], Wiegand, T.[Thomas],
Automatic Structure-Aware Inpainting for Complex Image Content,
ISVC08(I: 1144-1156).
Springer DOI 0812
BibRef

Pérez, E.[Emiliano], Salamanca, S.[Santiago], Merchán, P.[Pilar], Adán, A.[Antonio], Cerrada, C.[Carlos], Cambero, I.[Inocente],
A Robust Method for Filling Holes in 3D Meshes Based on Image Restoration,
ACIVS08(xx-yy).
Springer DOI 0810
BibRef

Lee, S.B.[Su-Bin], Seo, Y.D.[Yong-Duek],
Image In-painting by Band Matching, Seamless Cloning and Area Sub-division,
PSIVT07(180-190).
Springer DOI 0712
BibRef

Ho, H.T.[Huy Tho], Goecke, R.[Roland],
Automatic Parametrisation for an Image Completion Method Based on Markov Random Fields,
ICIP07(III: 541-544).
IEEE DOI 0709
BibRef

Xue, S.[Su], Dai, Q.H.[Qiong-Hai],
Nonlinear Poisson Image Completion using Color Manifold,
ICIP07(IV: 237-240).
IEEE DOI 0709
BibRef

Kirchhoffer, H.[Heiner], Marpe, D.[Detlev], Wiegand, T.[Thomas],
A Context Modeling Scheme for Coding of Texture Refinement Information,
ICIP07(VI: 89-92).
IEEE DOI 0709
BibRef

Ahmed, M.A.[Mohamed A.], Pitie, F.[Francois], Kokaram, A.C.[Anil C.],
Extraction of non-binary blotch mattes,
ICIP09(2757-2760).
IEEE DOI 0911
BibRef

Balle, J.[Johannes], Wien, M.[Mathias],
Extended Texture Prediction for H.264/AVC Intra Coding,
ICIP07(VI: 93-96).
IEEE DOI 0709
BibRef

McCann, S., Baltes, J.,
Towards Automatic Image Modificiation as an Emperical Test of Image Segmentation,
ICARCV06(1-6).
IEEE DOI 0612
BibRef

Holtzman-Gazit, M.[Michal], Yavneh, I.[Irad],
Scale Consistent Image Completion,
ISVC06(I: 648-659).
Springer DOI 0611
BibRef

Arnold, T., Morse, B.S.,
Interactive Image Repair with Assisted Structure and Texture Completion,
WACV07(11-11).
IEEE DOI 0702
BibRef

Wang, Z.Z.[Zhao-Zhong],
Image Affine Inpainting,
ICIAR08(xx-yy).
Springer DOI 0806
BibRef

Wang, Z.Z.[Zhao-Zhong], Li, Y.F.,
Watershed-guided inpainting for image magnification,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Wang, Z.Z.[Zhao-Zhong], Zhou, F.G.[Fu-Gen], Qi, F.H.[Fei-Hu],
Inpainting Thick Image Regions using Isophote Propagation,
ICIP06(689-692).
IEEE DOI 0610
BibRef

Chen, Y.[Yan], Luan, Q.[Qing], Li, H.Q.[Hou-Qiang], Au, O.C.,
Sketch-Guided Texture-Based Image Inpainting,
ICIP06(1997-2000).
IEEE DOI 0610
BibRef

Allene, C.[Cedric], Paragios, N.[Nikos],
Image Renaissance Using Discrete Optimization,
ICPR06(III: 631-634).
IEEE DOI 0609
Image completion. BibRef

Tamaki, T.[Toru], Suzuki, H.[Hiroshi], Yamamoto, M.[Masanobu],
String-Like Occluding Region Extraction for Background Restoration,
ICPR06(III: 615-618).
IEEE DOI 0609
BibRef

Favaro, P.[Paolo], Grisan, E.[Enrico],
Defocus Inpainting,
ECCV06(II: 349-359).
Springer DOI 0608
BibRef

Kornprobst, P.[Pierre], Aubert, G.[Gilles],
Explicit Reconstruction for Image Inpainting,
INRIARR-5905, 2006.
HTML Version. BibRef 0600

Shao, X.W.[Xiao-Wei], Liu, Z.K.[Zheng-Kai], Li, H.Q.[Hou-Qiang],
An Image Inpainting Approach Based on the Poisson Equation,
DIAL06(368-372).
IEEE DOI 0604
BibRef

Firman, M.[Michael], Aodha, O.M.[Oisin Mac], Julier, S.[Simon], Brostow, G.J.[Gabriel J.],
Structured Prediction of Unobserved Voxels from a Single Depth Image,
CVPR16(5431-5440)
IEEE DOI 1612
3D completion BibRef

Humayun, A.[Ahmad], Aodha, O.M.[Oisin Mac], Brostow, G.J.[Gabriel J.],
Learning to find occlusion regions,
CVPR11(2161-2168).
IEEE DOI 1106
BibRef

Wilczkowiak, M.M., Brostow, G.J., Tordoff, B.J., Cipolla, R.,
Hole Filling Through Photomontage,
BMVC05(xx-yy).
HTML Version. 0509
BibRef

Park, S.[Seyoun], Guo, X.H.[Xiao-Hu], Shin, H.[Hayong], Qin, H.[Hong],
Shape and Appearance Repair for Incomplete Point Surfaces,
ICCV05(II: 1260-1267).
IEEE DOI 0510
BibRef

Ng, T.T.[Tian-Tsong], Chang, S.F.[Shih-Fu],
A model for image splicing,
ICIP04(II: 1169-1172).
IEEE DOI 0505
Creating a forgery. BibRef

Zhao, W.Y.[Wen-Yi],
Motion-based spatial-temporal image repairing,
ICIP04(I: 291-294).
IEEE DOI 0505
BibRef

Gu, J.P.[Jian-Ping], Peng, S.L.[Si-Long], Wang, X.L.[Xue-Lin],
Digital image inpainting using monte carlo method,
ICIP04(II: 961-964).
IEEE DOI 0505
BibRef

Levin, A., Zomet, A., Weiss, Y.,
Learning how to inpaint from global image statistics,
ICCV03(305-312).
IEEE DOI 0311
BibRef

Kang, S.H.[Sung Ha], Chan, T.F., and Soatto, S.,
Landmark based inpainting from multiple views,
UCLA CAMReport 02-11, Department of Mathematics, 2002. BibRef 0200
And:
Inpainting from multiple views,
3DPVT02(622-625).
IEEE DOI 0206
BibRef

Kokaram, A.,
Parametric texture synthesis for filling holes in pictures,
ICIP02(I: 325-328).
IEEE DOI 0210
BibRef

de Rosa, A., Bonacchi, A.M., Cappellini, V., Barni, M.,
Image Segmentation and Region Filling for Virtual Restoration of Artworks,
ICIP01(I: 562-565).
IEEE DOI 0108
BibRef

Frey, B.J.[Brendan J.],
Filling in Scenes by Propagating Probabilities through Layers and into Appearance Models,
CVPR00(I: 185-192).
IEEE DOI 0005
more than just noise BibRef

Chapter on 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing continues in
Inpainting, GAN, CNN, Neural Nets, Learning .


Last update:Oct 16, 2021 at 11:54:21