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
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, Pattern recognition, 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 .