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
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.[Yaniv],
Elad, M.[Michael],
Con-Patch: When a Patch Meets Its Context,
IP(25), No. 9, September 2016, pp. 3967-3978.
IEEE DOI
1609
image denoising
BibRef
Dai, T.[Tao],
Xu, Z.Y.[Zhi-Ya],
Liang, H.[Haoyi],
Gu, K.[Ke],
Tang, Q.T.[Qing-Tao],
Wang, Y.S.[Yi-Sen],
Lu, W.Z.[Wei-Zhi],
Xia, S.T.[Shu-Tao],
A generic denoising framework via guided principal component analysis,
JVCIR(48), No. 1, 2017, pp. 340-352.
Elsevier DOI
1708
Image denoising
BibRef
Dai, T.[Tao],
Gu, K.[Ke],
Tang, Q.T.[Qing-Tao],
Hung, K.W.,
Zhang, Y.B.,
Lu, W.Z.[Wei-Zhi],
Xia, S.T.[Shu-Tao],
Foveated nonlocal dual denoising,
ICIP17(1881-1885)
IEEE DOI
1803
Discrete Fourier transforms, Entropy, Frequency-domain analysis,
Image denoising, Noise measurement, Noise reduction,
Image denoising
BibRef
Chen, Y.,
Dai, T.,
Xiao, X.,
Lu, J.,
Xia, S.T.,
Enhanced Image Restoration Via Supervised Target Feature Transfer,
ICIP20(1028-1032)
IEEE DOI
2011
Feature extraction, Image restoration, Training,
Image reconstruction, Task analysis, Image resolution, Autoencoder
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, S.,
Ding, Z.,
Fu, Y.,
Marginalized Denoising Dictionary Learning With Locality Constraint,
IP(27), No. 1, January 2018, pp. 500-510.
IEEE DOI
1712
Dictionaries, Encoding, Feature extraction, Machine learning,
Noise measurement, Noise reduction, Training,
locality constraint
BibRef
Yao, S.[Shoukui],
Chang, Y.[Yi],
Qin, X.J.[Xiao-Juan],
Zhang, Y.Z.[Yao-Zong],
Zhang, T.X.[Tian-Xu],
Principal component dictionary-based patch grouping for image
denoising,
JVCIR(50), No. 1, 2018, pp. 111-122.
Elsevier DOI
1712
Nonlocal self-similarity
BibRef
Hu, H.J.[Hai-Juan],
Froment, J.[Jacques],
Liu, Q.S.[Quan-Sheng],
A note on patch-based low-rank minimization for fast image denoising,
JVCIR(50), No. 1, 2018, pp. 100-110.
Elsevier DOI
1712
Image denoising
BibRef
Xu, J.[Jun],
Zhang, L.[Lei],
Zhang, D.[David],
External Prior Guided Internal Prior Learning for Real-World Noisy
Image Denoising,
IP(27), No. 6, June 2018, pp. 2996-3010.
IEEE DOI
1804
AWGN, Cameras, Dictionaries, Image denoising, Learning systems,
Noise measurement, Noise reduction, Image denoising,
real-world noisy image
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
Gu, S.H.[Shu-Hang],
Xie, Q.[Qi],
Meng, D.Y.[De-Yu],
Zuo, W.M.[Wang-Meng],
Feng, X.C.[Xiang-Chu],
Zhang, L.[Lei],
Weighted Nuclear Norm Minimization and Its Applications to Low Level
Vision,
IJCV(121), No. 2, January 2017, pp. 183-208.
Springer DOI
1702
BibRef
Earlier: A1, A6, A4, A5, Only:
Weighted Nuclear Norm Minimization with Application to Image
Denoising,
CVPR14(2862-2869)
IEEE DOI
1409
BibRef
Xu, J.[Jun],
Zhang, L.[Lei],
Zhang, D.[David],
Feng, X.C.[Xiang-Chu],
Multi-channel Weighted Nuclear Norm Minimization for Real Color Image
Denoising,
ICCV17(1105-1113)
IEEE DOI
1802
image colour analysis, image denoising, minimisation, statistics,
MC-WNNM model, channel redundancy, color image denoising,
Noise reduction
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
Zhang, M.,
Desrosiers, C.,
High-quality Image Restoration Using Low-Rank Patch Regularization
and Global Structure Sparsity,
IP(28), No. 2, February 2019, pp. 868-879.
IEEE DOI
1811
Image reconstruction, Image restoration, Adaptation models,
Task analysis, Image resolution, Noise reduction, Image coding,
ADMM
BibRef
Parameswaran, S.,
Deledalle, C.,
Denis, L.,
Nguyen, T.Q.,
Accelerating GMM-Based Patch Priors for Image Restoration:
Three Ingredients for a 100X Speed-Up,
IP(28), No. 2, February 2019, pp. 687-698.
IEEE DOI
1811
approximation theory, expectation-maximisation algorithm,
Gaussian processes, image denoising, image resolution,
efficient algorithms
BibRef
Liu, H.,
Xiong, R.,
Liu, D.,
Ma, S.,
Wu, F.,
Gao, W.,
Image Denoising via Low Rank Regularization Exploiting Intra and
Inter Patch Correlation,
CirSysVideo(28), No. 12, December 2018, pp. 3321-3332.
IEEE DOI
1812
BibRef
Earlier: A1, A2, A3, A5, A6, Only:
Low rank regularization exploiting intra and inter patch correlation
for image denoising,
VCIP17(1-4)
IEEE DOI
1804
Correlation, Principal component analysis, Uncertainty,
Image denoising, Optimization, Transforms, Noise reduction,
inter-patch correlation.
Bayes methods, image restoration,
iterative methods, minimisation, PSNR,
non-local similarity
BibRef
Deledalle, C.,
Parameswaran, S.,
Nguyen, T.,
Image Denoising with Generalized Gaussian Mixture Model Patch Priors,
SIIMS(11), No. 4, 2018, pp. 2568-2609.
DOI Link
1901
BibRef
Hurault, S.[Samuel],
Ehret, T.[Thibaud],
Arias, P.[Pablo],
EPLL: An Image Denoising Method Using a Gaussian Mixture Model
Learned on a Large Set of Patches,
IPOL(8), 2018, pp. 465-489.
DOI Link
1901
Code, Noise Removal.
See also From learning models of natural image patches to whole image restoration.
BibRef
Niknejad, M.,
Bioucas-Dias, J.,
Figueiredo, M.A.T.,
External Patch-Based Image Restoration Using Importance Sampling,
IP(28), No. 9, Sep. 2019, pp. 4460-4470.
IEEE DOI
1908
BibRef
Earlier:
Class-specific poisson denoising by patch-based importance sampling,
ICIP17(1247-1251)
IEEE DOI
1803
BibRef
And:
Class-specific image denoising using importance sampling,
ICIP17(1242-1246)
IEEE DOI
1803
estimation theory, image restoration, image sampling,
importance sampling, least mean squares methods.
Clustering algorithms, Face, Gaussian distribution,
Monte Carlo methods, Noise measurement, Noise reduction.
Bayes methods, Image denoising, non-local means
BibRef
Hong, I.[Inpyo],
Hwang, Y.[Youngbae],
Kim, D.[Daeyoung],
Efficient deep learning of image denoising using patch complexity
local divide and deep conquer,
PR(96), 2019, pp. 106945.
Elsevier DOI
1909
Image denoising, Deep neural networks,
Stacked denoising autoencoders, Divide and conquer,
Image patch classification
BibRef
Routray, S.[Sidheswar],
Ray, A.K.[Arun Kumar],
Mishra, C.[Chandrabhanu],
An efficient image denoising method based on principal component
analysis with learned patch groups,
SIViP(13), No. 7, October 2019, pp. 1405-1412.
Springer DOI
1911
BibRef
Colak, O.[Ozden],
Eksioglu, E.M.[Ender M.],
Image denoising using patch ordering and 3D transformation of patches,
IET-IPR(13), No. 13, November 2019, pp. 2636-2646.
DOI Link
1911
BibRef
Ji, J.[Jian],
Wei, J.J.[Jia-Jie],
Fan, G.L.[Guo-Liang],
Bai, M.Q.[Meng-Qi],
Huang, J.J.[Jing-Jing],
Miao, Q.G.[Qi-Guang],
Image patch prior learning based on random neighbourhood resampling for
image denoising,
IET-IPR(14), No. 5, 17 April 2020, pp. 838-844.
DOI Link
2004
BibRef
Zha, Z.Y.[Zhi-Yuan],
Yuan, X.[Xin],
Wen, B.H.[Bi-Han],
Zhang, J.C.[Jia-Chao],
Zhou, J.T.[Jian-Tao],
Zhu, C.[Ce],
Image Restoration Using Joint Patch-Group-Based Sparse Representation,
IP(29), 2020, pp. 7735-7750.
IEEE DOI
2007
Sparse representation, JPG-SR, nonlocal self-similarity,
image restoration, ADMM
BibRef
Yue, H.,
Liu, J.,
Yang, J.,
Sun, X.,
Nguyen, T.Q.,
Wu, F.,
IENet: Internal and External Patch Matching ConvNet for Web Image
Guided Denoising,
CirSysVideo(30), No. 11, November 2020, pp. 3928-3942.
IEEE DOI
2011
Noise reduction, Image denoising, Correlation, Noise measurement,
Gain, Neural networks, Image resolution, Image denoising,
internal and external patch matching ConvNet (IENet)
BibRef
Fu, Y.L.[Yu-Li],
Xu, J.W.[Jun-Wei],
Xiang, Y.J.[You-Jun],
Chen, Z.[Zhen],
Zhu, T.[Tao],
Cai, L.[Lei],
He, W.H.[Wei-Hong],
Multi-scale patches based image denoising using weighted nuclear norm
minimisation,
IET-IPR(14), No. 13, November 2020, pp. 3161-3168.
DOI Link
2012
BibRef
Shi, M.W.[Miao-Wen],
Zhang, F.[Fan],
Wang, S.W.[Su-Wei],
Zhang, C.M.[Cai-Ming],
Li, X.M.[Xue-Mei],
Detail preserving image denoising with patch-based structure
similarity via sparse representation and SVD,
CVIU(206), 2021, pp. 103173.
Elsevier DOI
2104
Structure similarity, Sparse representation,
Singular value decomposition( SVD), Image denoising
BibRef
Yao, D.[Dan],
McLaughlin, S.[Stephen],
Altmann, Y.[Yoann],
Patch-Based Image Restoration Using Expectation Propagation,
SIIMS(15), No. 1, 2022, pp. 192-227.
DOI Link
2204
BibRef
Yao, D.[Dan],
Altmann, Y.[Yoann],
McLaughlin, S.[Stephen],
Color Image Restoration in the Low Photon-Count Regime Using
Expectation Propagation,
ICIP22(3126-3130)
IEEE DOI
2211
Couplings, Uncertainty, Image color analysis, Gaussian noise, Color,
Gray-scale, Image restoration, color image restoration,
Expectation Propagation
BibRef
Yao, D.[Dan],
McLaughlin, S.[Stephen],
Altmann, Y.[Yoann],
Fast Scalable Image Restoration Using Total Variation Priors and
Expectation Propagation,
IP(31), 2022, pp. 5762-5773.
IEEE DOI
2209
Image restoration, Bayes methods, TV, Uncertainty,
Image edge detection, Estimation, Noise reduction,
hyperparameter estimation
BibRef
Shi, H.[Hui],
Traonmilin, Y.[Yann],
Aujol, J.F.[Jean-Francois],
Compressive Learning for Patch-Based Image Denoising,
SIIMS(15), No. 3, 2022, pp. 1184-1212.
DOI Link
2208
BibRef
Kim, J.[Junseob],
Cho, S.[Sunghwan],
Hwang, S.I.[Sun-Il],
Lee, W.[Wonjin],
Choi, Y.[Yeongyoon],
Enhancing LPI Radar Signal Classification Through Patch-Based Noise
Reduction,
SPLetters(31), 2024, pp. 716-720.
IEEE DOI
2403
Noise reduction, Radar, Convolution, Noise measurement,
Signal to noise ratio, Image reconstruction, signal classification
BibRef
Cho, H.[Hyunjun],
Shin, H.K.[Hong-Kyu],
Jang, Y.[Yurim],
Ko, S.J.[Sung-Jea],
Jung, S.W.[Seung-Won],
PD-CR: Patch-Based Diffusion Using Constrained Refinement for Image
Restoration,
SPLetters(31), 2024, pp. 949-953.
IEEE DOI
2404
Image restoration, Computational modeling, Task analysis, Vectors,
Probabilistic logic, Noise reduction,
raindrop removal
BibRef
Herbreteau, S.[Sébastien],
Kervrann, C.[Charles],
Linear Combinations of Patches are Unreasonably Effective for
Single-Image Denoising,
IP(33), 2024, pp. 4600-4613.
IEEE DOI
2408
Noise reduction, Noise measurement, Training, Image denoising,
Transforms, Optimization, Inverse problems,
statistical aggregation
BibRef
Wang, Z.C.[Zi-Chun],
Fu, Y.[Ying],
Liu, J.[Ji],
Zhang, Y.[Yulun],
LG-BPN: Local and Global Blind-Patch Network for Self-Supervised
Real-World Denoising,
CVPR23(18156-18165)
IEEE DOI
2309
BibRef
Dutta, S.[Sayantan],
Basarab, A.[Adrian],
Georgeot, B.[Bertrand],
Kouamé, D.[Denis],
Deep Unfolding of Image Denoising by Quantum Interactive Patches,
ICIP22(491-495)
IEEE DOI
2211
Adaptation models, Adaptive systems, Noise reduction,
Superresolution, Stacking, Quantum mechanics, Skeleton,
quantum image processing
BibRef
Bodduna, K.,
Weickert, J.,
Enhancing Patch-Based Methods with Inter-Frame Connectivity for
Denoising Multi-Frame Images,
ICIP19(2414-2418)
IEEE DOI
1910
Multi-frame denoising, non-local patch methods, additive white Gaussian noise
BibRef
Lu, S.,
Good Similar Patches for Image Denoising,
WACV19(1886-1895)
IEEE DOI
1904
Gaussian processes, image denoising, mixture models,
pattern clustering, input image,
Image restoration
BibRef
Kwak, N.[Nojun],
Yoo, J.[Jaeyoung],
Lee, S.H.[Sang-Ho],
Image Restoration by Estimating Frequency Distribution of Local
Patches,
CVPR18(6684-6692)
IEEE DOI
1812
Image restoration, Image coding,
Frequency-domain analysis, Feature extraction,
Discrete cosine transforms
BibRef
Ren, Z.H.[Zhi-Hang],
Dai, P.[Peng],
Liu, S.C.[Shuai-Cheng],
Zhu, S.Y.[Shu-Yuan],
Zeng, B.[Bing],
Coding Trajectory: Enable Video Coding for Video Denoising,
ICIP18(3224-3228)
IEEE DOI
1809
Use redundant patches in video frames.
Trajectory, Video coding, Noise reduction, Image coding, Encoding,
Discrete cosine transforms, Video Coding, video denoising, coding trajectory
BibRef
Arias, P.,
Facciolo, G.[Gabriele],
Morel, J.M.[Jean-Michel],
A Comparison of Patch-Based Models in Video Denoising,
IVMSP18(1-5)
IEEE DOI
1809
Discrete cosine transforms, Adaptation models,
Noise reduction, Covariance matrices,
patch-based methods
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).
See also From learning models of natural image patches to whole image restoration.
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 .