5.3.4.2 Patch-Based Restoration, Denoising

Chapter Contents (Back)
Patch-Based. Adaptive. Restoration.

Chen, Q.A.[Qi-Ang], Sun, Q.S.[Quan-Sen], Xia, D.S.[De-Shen],
Homogeneity similarity based image denoising,
PR(43), No. 12, December 2010, pp. 4089-4100.
Elsevier DOI 1003
Image denoising; Homogeneity similarity; Patch-based method; Structure similarity BibRef

Liu, X.H.[Xin-Hao], Tanaka, M.[Masayuki], Okutomi, M.[Masatoshi],
Single-Image Noise Level Estimation for Blind Denoising,
IP(22), No. 12, 2013, pp. 5226-5237.
IEEE DOI 1312
BibRef
Earlier:
Noise level estimation using weak textured patches of a single noisy image,
ICIP12(665-668).
IEEE DOI 1302
computational complexity BibRef

Yang, S.Y.[Shu-Yuan], Zhao, L.F.[Lin-Fang], Wang, M.[Min], Zhang, Y.Y.[Yue-Yuan], Jiao, L.C.[Li-Cheng],
Dictionary learning and similarity regularization based image noise reduction,
JVCIR(24), No. 2, February 2013, pp. 181-186.
Elsevier DOI 1302
Image denoising; Sparse learning; Image patches; Dictionary learning; Self-similarity; Non-local means; KSVD; Non-parametric Bayesian BibRef

Delon, J.[Julie], Desolneux, A.[Agnès],
A Patch-Based Approach for Removing Impulse or Mixed Gaussian-Impulse Noise,
SIIMS(6), No. 2, 2013, pp. 1140-1174.
DOI Link 1307
BibRef

Delon, J.[Julie], Desolneux, A.[Agnès], Guillemot, T.[Thierry],
PARIGI: a Patch-based Approach to Remove Impulse-Gaussian Noise from Images,
IPOL(6), 2016, pp. 130-154.
DOI Link 1608
Code, Impulse Noise. BibRef

Wang, R.X.[Rui-Xuang], Pakleppa, M., Trucco, E.[Emanuele],
Low-Rank Prior in Single Patches for Nonpointwise Impulse Noise Removal,
IP(24), No. 5, May 2015, pp. 1485-1496.
IEEE DOI 1504
gradient methods BibRef

Wang, R.X.[Rui-Xuang], Trucco, E.[Emanuele],
Single-Patch Low-Rank Prior for Non-pointwise Impulse Noise Removal,
ICCV13(1073-1080)
IEEE DOI 1403
joint low-rank and sparse matrix recovery framework BibRef

Chen, X.G.[Xiao-Gang], Kang, S.B.[Sing Bing], Yang, J.[Jie], Yu, J.Y.[Jing-Yi],
Fast Edge-Aware Denoising by Approximated Patch Geodesic Paths,
CirSysVideo(25), No. 6, June 2015, pp. 897-909.
IEEE DOI 1506
BibRef
Earlier:
Fast Patch-Based Denoising Using Approximated Patch Geodesic Paths,
CVPR13(1211-1218)
IEEE DOI 1309
Acceleration BibRef

Feng, J.Z.[Jian-Zhou], Song, L.[Li], Huo, X.M.[Xiao-Ming], Yang, X.K.[Xiao-Kang], Zhang, W.J.[Wen-Jun],
An Optimized Pixel-Wise Weighting Approach for Patch-Based Image Denoising,
SPLetters(22), No. 1, January 2015, pp. 115-119.
IEEE DOI 1410
BibRef
Earlier:
New bounds on image denoising: Viewpoint of sparse representation and non-local averaging,
VCIP12(1-5).
IEEE DOI 1302
filtering theory BibRef

Liu, G.C.[Gan-Chao], Zhong, H.[Hua], Jiao, L.C.[Li-Cheng],
Comparing Noisy Patches for Image Denoising: A Double Noise Similarity Model,
IP(24), No. 3, March 2015, pp. 862-872.
IEEE DOI 1502
Gaussian noise BibRef

Niknejad, M., Rabbani, H., Babaie-Zadeh, M.,
Image Restoration Using Gaussian Mixture Models With Spatially Constrained Patch Clustering,
IP(24), No. 11, November 2015, pp. 3624-3636.
IEEE DOI 1509
Gaussian distribution BibRef

Papyan, V., Elad, M.,
Multi-Scale Patch-Based Image Restoration,
IP(25), No. 1, January 2016, pp. 249-261.
IEEE DOI 1601
Approximation methods BibRef

Cai, N.[Nian], Zhou, Y.[Yang], Wang, S.R.[Sheng-Ru], Ling, B.W.K.[Bingo Wing-Kuen], Weng, S.W.[Shao-Wei],
Image denoising via patch-based adaptive Gaussian mixture prior method,
SIViP(10), No. 6, June 2016, pp. 993-999.
Springer DOI 1608
BibRef

Romano, Y., Elad, M.,
Con-Patch: When a Patch Meets Its Context,
IP(25), No. 9, September 2016, pp. 3967-3978.
IEEE DOI 1609
image denoising BibRef


Xu, J.[Jun], Ren, D.W.[Dong-Wei], Zhang, L.[Lei], Zhang, D.[David],
Patch Group Based Bayesian Learning for Blind Image Denoising,
NTIRE16(I: 79-95).
Springer DOI 1704
BibRef

Xu, J.[Jun], Zhang, L.[Lei], Zuo, W., Zhang, D.[David], Feng, X.,
Patch Group Based Nonlocal Self-Similarity Prior Learning for Image Denoising,
ICCV15(244-252)
IEEE DOI 1602
Dictionaries BibRef

Chen, F., Zhang, L., Yu, H.,
External Patch Prior Guided Internal Clustering for Image Denoising,
ICCV15(603-611)
IEEE DOI 1602
Covariance matrices BibRef

Dai, T.[Tao], Song, C.B.[Chao-Bing], Zhang, J.P.[Ji-Ping], Xia, S.T.[Shu-Tao],
PMPA: A patch-based multiscale products algorithm for image denoising,
ICIP15(4406-4410)
IEEE DOI 1512
Image denoising; LAWML; multiscale products; nonlocal means; wavelet BibRef

Wang, Y.[Yan], Cho, S.H.[Sung-Hyun], Wang, J.[Jue], Chang, S.F.[Shih-Fu],
Discriminative Indexing for Probabilistic Image Patch Priors,
ECCV14(IV: 200-214).
Springer DOI 1408
E.g. Expected Patch Log-Likelihood (EPLL). BibRef

de Smet, V., Namboodiri, V.P., Van Gool, L.J.,
Nonuniform image patch exemplars for low level vision,
WACV13(23-30).
IEEE DOI 1303
for denoising and super-resolution. BibRef

Pierazzo, N.[Nicola], Rais, M.[Martin],
Boosting 'shotgun denoising' by patch normalization,
ICIP13(1115-1119)
IEEE DOI 1402
Approximation methods. Patch based. BibRef

Zontak, M.[Maria], Mosseri, I.[Inbar], Irani, M.[Michal],
Separating Signal from Noise Using Patch Recurrence across Scales,
CVPR13(1195-1202)
IEEE DOI 1309
image denoising; multi-scale prior for noisy images; patch recurrence BibRef

Jia, C.[Chao], Evans, B.L.[Brian L.],
Patch-based image deconvolution via joint modeling of sparse priors,
ICIP11(681-684).
IEEE DOI 1201
BibRef

Do, Q.B.[Quoc Bao], Beghdadi, A.[Azeddine], Luong, M.[Marie],
Image denoising using Bilateral filter in high dimensional patch-space,
EUVIP11(36-41).
IEEE DOI 1110
BibRef
Earlier:
Image Denoising Using Bilateral Filter in High Dimensional PCA-Space,
CAIP11(II: 372-379).
Springer DOI 1109
BibRef

Angelino, C.V.[Cesario Vincenzo], Debreuve, E.[Eric], Barlaud, M.[Michel],
Patch confidence k-nearest neighbors denoising,
ICIP10(1129-1132).
IEEE DOI 1009
BibRef
And:
Image restoration using a kNN-variant of the mean-shift,
ICIP08(573-576).
IEEE DOI 0810
BibRef

Salmon, J., Le Pennec, E.,
NL-Means and aggregation procedures,
ICIP09(2977-2980).
IEEE DOI 0911
Patch based denoising. BibRef

Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
Iterative, Recursive, Restoration Techniques .


Last update:Jul 15, 2017 at 20:56:55