Ballester, C.,
Bertalmio, M.,
Caselles, V.,
Sapiro, G.,
Verdera, J.,
Filling-in by joint interpolation of vector fields and gray levels,
IP(10), No. 8, August 2001, pp. 1200-1211.
IEEE DOI
0108
BibRef
And: A1, A3, A5, A2, A4:
A Variational Model for Filling-in Gray Level and Color Images,
ICCV01(I: 10-16).
IEEE DOI
0106
See also Comprehensive Framework for Image Inpainting, A.
BibRef
Arias, P.[Pablo],
Facciolo, G.[Gabriele],
Caselles, V.[Vicent],
Sapiro, G.[Guillermo],
A Variational Framework for Exemplar-Based Image Inpainting,
IJCV(93), No. 3, July 2011, pp. 319-347.
WWW Link.
1104
BibRef
Earlier: A2, A1, A3, A4:
Exemplar-Based Interpolation of Sparsely Sampled Images,
EMMCVPR09(331-344).
Springer DOI
0908
BibRef
Earlier: A1, A3, A4, Only:
A Variational Framework for Non-local Image Inpainting,
EMMCVPR09(345-358).
Springer DOI
0908
Code:
See also Variational Framework for Non-Local Inpainting.
See also Variational Model for Gradient-Based Video Editing, A.
See also Combined First and Second Order Total Variation Inpainting using Split Bregman.
BibRef
Fedorov, V.[Vadim],
Facciolo, G.[Gabriele],
Arias, P.[Pablo],
Variational Framework for Non-Local Inpainting,
IPOL(5), 2015, pp. 362-386.
DOI Link
1601
Code, Inpainting.
See also Variational Framework for Exemplar-Based Image Inpainting, A.
BibRef
Masnou, S.,
Disocclusion: a variational approach using level lines,
IP(11), No. 2, February 2002, pp. 68-76.
IEEE DOI
0202
Recovery of occluded areas by interpolation.
BibRef
Masnou, S.,
Morel, J.M.,
Level lines based disocclusion,
ICIP98(III: 259-263).
IEEE DOI
9810
BibRef
Fukushima, T.[Tsumoru],
Onishi, H.[Hiroshi],
Yamashita, H.[Haruo],
Method for interpolating missing pixels and an apparatus
employing the method,
US_Patent5,570,436, Oct 29, 1996
WWW Link.
BibRef
9610
Nemirovsky, S.[Shira],
Porat, M.[Moshe],
On texture and image interpolation using Markov models,
SP:IC(24), No. 3, March 2009, pp. 139-157.
Elsevier DOI
0903
Markov models; Wide-sense Markov; Autocorrelation function; Sampling;
High resolution; Low resolution; Texture interpolation; Fidelity
criterion for texture reconstruction; Subjective forced-choice test
BibRef
Ogawa, T.[Takahiro],
Haseyama, M.[Miki],
Missing Intensity Interpolation Using a Kernel PCA-Based POCS Algorithm
and its Applications,
IP(19), No. 2, February 2011, pp. 417-432.
IEEE DOI
1102
BibRef
Earlier:
POCS-Based Iterative Reconstruction Algorithm of Missing Textures,
ICIP07(III: 101-104).
IEEE DOI
0709
BibRef
Ogawa, T.[Takahiro],
Haseyama, M.[Miki],
Missing Image Data Reconstruction Based on Adaptive Inverse Projection
via Sparse Representation,
MultMed(13), No. 5, 2011, pp. 974-992.
IEEE DOI
1110
BibRef
Ogawa, T.[Takahiro],
Haseyama, M.[Miki],
Missing Texture Reconstruction Method Based on Error Reduction
Algorithm Using Fourier Transform Magnitude Estimation Scheme,
IP(22), No. 3, March 2013, pp. 1252-1257.
IEEE DOI
1301
BibRef
Ogawa, T.[Takahiro],
Haseyama, M.[Miki],
Adaptive Subspace-Based Inverse Projections via Division Into
Multiple Sub-Problems for Missing Image Data Restoration,
IP(25), No. 12, December 2016, pp. 5971-5986.
IEEE DOI
1612
image representation
BibRef
Ogawa, T.[Takahiro],
Haseyama, M.[Miki],
Kitajima, H.,
Reconstruction Method of Missing Texture Using Error Reduction
Algorithm,
ICIP05(II: 1026-1029).
IEEE DOI
0512
BibRef
Kumwilaisak, W.[Wuttipong],
Kuo, C.C.J.[C.C. Jay],
Spatial error concealment with sequence-aligned texture modeling and
adaptive directional recovery,
JVCIR(22), No. 2, February 2011, pp. 164-177.
Elsevier DOI
1102
Spatial error concealment; Global pixel alignment; Local pixel
alignment; Correspondence association; Directional recovery; Geometric
interpolation; Texture pattern mode; Peak-signal-to-noise ratio
BibRef
Bhattacharjee, S.,
Mitra, P.,
Ghosh, S.K.,
Spatial Interpolation to Predict Missing Attributes in GIS Using
Semantic Kriging,
GeoRS(52), No. 8, August 2014, pp. 4771-4780.
IEEE DOI
1403
Blend spatial feature analysis with Kriging for predicting missing data.
Correlation
BibRef
Chung, B.J.[Byung-Jin],
Yim, C.H.[Chang-Hoon],
Hybrid error concealment method combining exemplar-based image
inpainting and spatial interpolation,
SP:IC(29), No. 10, 2014, pp. 1121-1137.
Elsevier DOI
1411
Image reconstruction
BibRef
Deng, M.[Min],
Fan, Z.[Zide],
Liu, Q.L.[Qi-Liang],
Gong, J.Y.[Jian-Ya],
A Hybrid Method for Interpolating Missing Data in Heterogeneous
Spatio-Temporal Datasets,
IJGI(5), No. 2, 2016, pp. 13.
DOI Link
1603
BibRef
Ceko, M.[Matthew],
Guinard, A.[Arnaud],
Svalbe, I.[Imants],
Symmetric Masks for In-fill Pixel Interpolation on Discrete p:q
Lattices,
JMIV(60), No. 3, March 2018, pp. 304-312.
Springer DOI
1804
BibRef
Earlier: A3, A2, Only:
DGCI16(233-243).
WWW Link.
1606
BibRef
Liu, Q.G.[Qie-Gen],
Li, S.Q.[San-Qian],
Xiao, J.[Jing],
Zhang, M.H.[Ming-Hui],
Multi-filters guided low-rank tensor coding for image inpainting,
SP:IC(73), 2019, pp. 70-83.
Elsevier DOI
1904
BibRef
Earlier: A2, A1, Only:
ICIVC17(418-422)
IEEE DOI
1708
Image inpainting, Multi-filters, Low-rank, Tensor coding,
Higher-order singular value decomposition, Gradient descent,
Weighted aggregation.
Boats, Hair, Image edge detection, Interpolation, Tensile stress,
HOSVD decomposition, gradient descent procedure,
image inpainting, low-rank, multi-filters, tensor, coding
BibRef
Lu, H.Y.[Hong-Yang],
Li, S.Q.[San-Qian],
Liu, Q.G.[Qie-Gen],
Wang, Y.H.[Yu-Hao],
MF-LRTC: Multi-filters guided low-rank tensor coding for image
restoration,
ICIP17(2104-2108)
IEEE DOI
1803
Indexes, HOSVD decomposition, Image restoration,
Low-rank tensor coding, Multi-filters
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
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
BibRef
Holloway, J.[Jacinta],
Helmstedt, K.J.[Kate J.],
Mengersen, K.[Kerrie],
Schmidt, M.[Michael],
A Decision Tree Approach for Spatially Interpolating Missing Land
Cover Data and Classifying Satellite Images,
RS(11), No. 15, 2019, pp. xx-yy.
DOI Link
1908
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
Ren, Y.,
Yu, X.,
Zhang, R.,
Li, T.H.,
Liu, S.,
Li, G.,
StructureFlow: Image Inpainting via Structure-Aware Appearance Flow,
ICCV19(181-190)
IEEE DOI
2004
image denoising, image reconstruction, image restoration,
image segmentation, image texture, neural nets, smoothing methods,
Visualization
BibRef
Allain, P.[Pierre],
Guillo, L.[Laurent],
Guillemot, C.[Christine],
Fast Light Field Inpainting Propagation Using Angular Warping and
Color-Guided Disparity Interpolation,
ACIVS18(559-570).
Springer DOI
1810
BibRef
Chen, R.,
Jia, H.,
Xie, X.,
Gao, W.,
Correlation preserving on graphs for image denoising,
ICIP17(1876-1880)
IEEE DOI
1803
BibRef
Earlier:
A structure-preserving image restoration method with high-level
ensemble constraints,
VCIP16(1-4)
IEEE DOI
1701
BibRef
Earlier:
A HVS-guided approach for real-time image interpolation,
VCIP15(1-4)
IEEE DOI
1605
Europe, IEEE Multimedia, Indexes,
Multimedia communication, TV,
low-rank.
Contracts
BibRef
Guo, K.[Kai],
Yang, X.K.[Xiao-Kang],
Zhang, R.[Rui],
Yu, S.Y.[Song-Yu],
Zha, H.Y.[Hong-Yuan],
Interpolating fine textures with fields of experts prior,
ICIP09(353-356).
IEEE DOI
0911
BibRef
Kim, J.H.[Ji Hoon],
Lee, S.H.[Sang Hwa],
Cho, N.I.[Nam Ik],
Bayesian Image Interpolation Based on the Learning and Estimation of
Higher Bandwavelet Coefficients,
ICIP06(685-688).
IEEE DOI
0610
BibRef
Saito, T.,
Ishii, Y.,
Nakagawa, Y.,
Komatsu, T.,
Adaptable Image Interpolation with Skeleton-Texture Separation,
ICIP06(681-684).
IEEE DOI
0610
BibRef
Chessel, A.,
Fablet, R.,
Cao, F.,
Kervrann, C.,
Orientation Interpolation and Applications,
ICIP06(1561-1564).
IEEE DOI
0610
BibRef
Chessel, A.[Anatole],
Cao, F.[Frederic],
Fablet, R.[Ronan],
Interpolating Orientation Fields: An Axiomatic Approach,
ECCV06(IV: 241-254).
Springer DOI
0608
BibRef
Chandra, S.I.[Sun-Il],
Petrou, M.[Maria],
Piroddi, R.[Roberta],
Texture Interpolation Using Ordinary Kriging,
IbPRIA05(II:183).
Springer DOI
0509
BibRef
Chapter on 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing continues in
Inpainting, Patch Based Methods, Region Methods .