11.14.3.6.3 Inpainting, Patch Based Methods

Chapter Contents (Back)
Inpainting.

Fang, C.W.[Chih-Wei], Lien, J.J.J.[Jenn-Jier James],
Rapid Image Completion System Using Multiresolution Patch-Based Directional and Nondirectional Approaches,
IP(18), No. 12, December 2009, pp. 2769-2779.
IEEE DOI 0912
BibRef
Earlier:
Fast Directional Image Completion,
PSIVT07(48-61).
Springer DOI 0712
BibRef
Earlier:
Fast Image Replacement Using Multi-resolution Approach,
ACCV06(II:509-520).
Springer DOI 0601
Texture inpainting. BibRef

Xu, Z., Sun, J.,
Image Inpainting by Patch Propagation Using Patch Sparsity,
IP(19), No. 5, May 2010, pp. 1153-1165.
IEEE DOI 1004
BibRef

Liu, D.[Dong], Sun, X.Y.[Xiao-Yan], Wu, F.[Feng],
Inpainting with image patches for compression,
JVCIR(23), No. 1, January 2012, pp. 100-113.
Elsevier DOI 1112
Assistant information; Displacement vector; Image compression; Image patches; Inpainting; Intra prediction; Non-parametric; Rate-distortion optimization; Texture synthesis BibRef

Shi, Z.B.[Zhong-Bo], Sun, X.Y.[Xiao-Yan], Wu, F.[Feng],
Multi-model prediction for image set compression,
VCIP13(1-6)
IEEE DOI 1402
correlation methods BibRef

Ram, I., Elad, M., Cohen, I.,
Image Processing Using Smooth Ordering of its Patches,
IP(22), No. 7, 2013, pp. 2764-2774.
IEEE DOI 1307
smoothing methods; corrupted image; inpainting; patch-based processing BibRef

Ram, I., Cohen, I., Elad, M.[Michael],
Patch-Ordering-Based Wavelet Frame and Its Use in Inverse Problems,
IP(23), No. 7, July 2014, pp. 2779-2792.
IEEE DOI 1407
Approximation algorithms BibRef

Ram, I., Cohen, I., Elad, M.,
Facial Image Compression using Patch-Ordering-Based Adaptive Wavelet Transform,
SPLetters(21), No. 10, October 2014, pp. 1270-1274.
IEEE DOI 1407
Dictionaries BibRef

Vaksman, G.[Gregory], Zibulevsky, M.[Michael], Elad, M.[Michael],
Patch Ordering as a Regularization for Inverse Problems in Image Processing,
SIIMS(9), No. 1, 2016, pp. 287-319.
DOI Link 1604
BibRef

Kim, B.[Baeksop], Kim, J.[Jiseong], So, J.M.[Jung-Min],
Pixel and Patch Reordering for Fast Patch Selection in Exemplar-Based Image Inpainting,
IEICE(E96-D), No. 12, December 2013, pp. 2892-2895.
WWW Link. 1312
BibRef

So, J.M.[Jung-Min], Kim, B.[Baeksop],
A Fast Exemplar-Based Image Inpainting Method Using Bounding Based on Mean and Standard Deviation of Patch Pixels,
IEICE(E98-D), No. 8, August 2015, pp. 1553-1561.
WWW Link. 1509
BibRef

He, K.M.[Kai-Ming], Sun, J.[Jian],
Image Completion Approaches Using the Statistics of Similar Patches,
PAMI(36), No. 12, December 2014, pp. 2423-2435.
IEEE DOI 1411
BibRef
Earlier:
Statistics of Patch Offsets for Image Completion,
ECCV12(II: 16-29).
Springer DOI 1210
Cost function BibRef

Li, Z., He, H., Tai, H., Yin, Z., Chen, F.,
Color-Direction Patch-Sparsity-Based Image Inpainting Using Multidirection Features,
IP(24), No. 3, March 2015, pp. 1138-1152.
IEEE DOI 1502
Coherence BibRef

Buyssens, P., Daisy, M., Tschumperle, D., Lezoray, O.,
Exemplar-Based Inpainting: Technical Review and New Heuristics for Better Geometric Reconstructions,
IP(24), No. 6, June 2015, pp. 1809-1824.
IEEE DOI 1504
BibRef
And:
Superpixel-based depth map inpainting for RGB-D view synthesis,
ICIP15(4332-4336)
IEEE DOI 1512
BibRef
Earlier: A2, A1, A3, A4:
A smarter exemplar-based inpainting algorithm using local and global heuristics for more geometric coherence,
ICIP14(4622-4626)
IEEE DOI 1502
Depth map disocclusion; View synthesis; superpixels. Approximation algorithms BibRef

Chen, Z.H.[Zhi-Hua], Dai, C.[Chao], Jiang, L.[Lei], Sheng, B.[Bin], Zhang, J.[Jing], Lin, W.Y.[Wei-Yao], Yuan, Y.[Yubo],
Structure-aware image inpainting using patch scale optimization,
JVCIR(40, Part A), No. 1, 2016, pp. 312-323.
Elsevier DOI 1609
Image inpainting BibRef


Akl, A., Saad, E., Yaacoub, C.,
Structure-based image inpainting,
IPTA16(1-6)
IEEE DOI 1703
image restoration BibRef

Koppel, M.[Marin], Ben Makhlouf, M.[Mehdi], Muller, K.[Karsen], Wiegand, T.[Thomas],
Fast image completion method using patch offset statistics,
ICIP15(1795-1799)
IEEE DOI 1512
Inpainting BibRef

Köhler, R.[Rolf], Schuler, C.[Christian], Schölkopf, B.[Bernhard], Harmeling, S.[Stefan],
Mask-Specific Inpainting with Deep Neural Networks,
GCPR14(523-534).
Springer DOI 1411
BibRef

Daisy, M.[Maxime], Buyssens, P.[Pierre], Tschumperlé, D.[David], Lézoray, O.[Olivier],
Tensor-Directed Spatial Patch Blending for Pattern-Based Inpainting Methods,
CAIP15(I:149-160).
Springer DOI 1511
BibRef
Earlier: A1, A3, Only:
Spatial Patch Blending for Artefact Reduction in Pattern-Based Inpainting Techniques,
CAIP13(II:523-530).
Springer DOI 1311
BibRef

Tae-o-sot, S.[Sarawut], Nishihara, A.[Akinori],
Iterative Gradient-Driven Patch-Based Inpainting,
PSIVT11(II: 71-81).
Springer DOI 1111
BibRef

Zhou, H.L.[Hai-Ling], Zheng, J.M.[Jian-Min],
Adaptive patch size determination for patch-based image completion,
ICIP10(421-424).
IEEE DOI 1009
BibRef

Cheung, V.[Vincent], Jojic, N.[Nebojsa], Samaras, D.[Dimitris],
Capturing long-range correlations with patch models,
CVPR07(1-8).
IEEE DOI 0706
Apply to object registration, inpainting, relighting. BibRef

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


Last update:Sep 18, 2017 at 11:34:11