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


Zhang, X., Hamann, B., Pan, X., Zhang, C.,
Superpixel-based image inpainting with simple user guidance,
ICIP17(3785-3789)
IEEE DOI 1803
Computer science, Image edge detection, Image segmentation, Measurement, Microsoft Windows, Painting, Sun, image inpainting, user guidance BibRef

Wang, W., Huang, Q., You, S., Yang, C., Neumann, U.,
Shape Inpainting Using 3D Generative Adversarial Network and Recurrent Convolutional Networks,
ICCV17(2317-2325)
IEEE DOI 1802
decoding, feedforward neural nets, graphics processing units, image colour analysis, image recognition, image reconstruction, 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:Jun 14, 2018 at 16:13:32