11.14.3.6.4 Inpainting, Patch Based Methods, Region Methods

Chapter Contents (Back)
Inpainting.

Jia, J.Y.[Jia-Ya], Tang, C.K.[Chi-Keung],
Inference of Segmented Color and Texture Description by Tensor Voting,
PAMI(26), No. 6, June 2004, pp. 771-786.
IEEE Abstract. 0404
BibRef
Earlier:
Image repairing: robust image synthesis by adaptive ND tensor voting,
CVPR03(I: 643-650).
IEEE DOI 0307
Texture Synthesis. Automatically infer missing regions by a ND tensor voting method. See also Tensor Voting for Image Correction by Global and Local Intensity Alignment. BibRef

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.[Michael],
Facial Image Compression using Patch-Ordering-Based Adaptive Wavelet Transform,
SPLetters(21), No. 10, October 2014, pp. 1270-1274.
IEEE DOI 1407
Dictionaries BibRef

Ulen, J., Strandmark, P.[Petter], Kahl, F.[Fredrik],
An Efficient Optimization Framework for Multi-Region Segmentation Based on Lagrangian Duality,
MedImg(32), No. 2, February 2013, pp. 178-188.
IEEE DOI 1301
BibRef
Earlier: A2, A3, Only:
Curvature Regularization for Curves and Surfaces in a Global Optimization Framework,
EMMCVPR11(205-218).
Springer DOI 1107
BibRef

Schoenemann, T.[Thomas], Kuang, Y.B.[Yu-Bin], Kahl, F.[Fredrik],
Curvature Regularity for Multi-label Problems: Standard and Customized Linear Programming,
EMMCVPR11(163-176).
Springer DOI 1107
BibRef

Schoenemann, T.[Thomas], Kahl, F.[Fredrik], Masnou, S.[Simon], Cremers, D.[Daniel],
A Linear Framework for Region-Based Image Segmentation and Inpainting Involving Curvature Penalization,
IJCV(99), No. 1, August 2012, pp. 53-68.
WWW Link. 1202
BibRef
Earlier: A1, A2, A4, Only:
Curvature regularity for region-based image segmentation and inpainting: A linear programming relaxation,
ICCV09(17-23).
IEEE DOI 0909
BibRef

Chang, I.C.[I-Cheng], Yu, J.C.[J. Cloud], Chang, C.C.[Chih-Chuan],
A forgery detection algorithm for exemplar-based inpainting images using multi-region relation,
IVC(31), No. 1, January 2013, pp. 57-71.
Elsevier DOI 1302
Digital image forensics; Digital forgery detection; Exemplar-based inpainting; Multi-region relation; Weight transformation 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

Ren, Y.[Yi], Romano, Y.[Yaniv], Elad, M.[Michael],
Example-Based Image Synthesis via Randomized Patch-Matching,
IP(27), No. 1, January 2018, pp. 220-235.
IEEE DOI 1712
image matching, image texture, coherent image, estimated image, face images, handwritten digits, image processing, t-SNE 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

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


Yeh, R.A., Chen, C., Lim, T.Y., Schwing, A.G., Hasegawa-Johnson, M.[Mark], Do, M.N.,
Semantic Image Inpainting with Deep Generative Models,
CVPR17(6882-6890)
IEEE DOI 1711
Encoding, Gallium nitride, Image coding, Manifolds, Semantics, Training BibRef

Yang, C., Lu, X., Lin, Z., Shechtman, E., Wang, O., Li, H.,
High-Resolution Image Inpainting Using Multi-scale Neural Patch Synthesis,
CVPR17(4076-4084)
IEEE DOI 1711
Feature extraction, Image resolution, Mathematical model, Neural networks, Optimization, Training 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

Vehkapera, J.[Janne], Tomperi, S.[Seppo],
Replacing picture regions in H.264/AVC bitstream by utilizing independent slices,
ICIP10(3397-3400).
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:Dec 28, 2017 at 17:11:31