5.3.14 Blind Image Restoration

Zhang, B., Shirazi, M.N., Noda, H.,
Blind Restoration of Degraded Binary Markov Random-Field Images,
GMIP(58), No. 1, January 1996, pp. 90-98. BibRef 9601

Chow, T.W.S., Li, X., Cho, S.Y.,
Improved blind image restoration scheme using recurrent filtering,
VISP(147), No. 1, February 2000, pp. 23. 0005
BibRef

Pai, H.T.[Hung-Ta], Bovik, A.C.,
On eigenstructure-based direct multichannel blind image restoration,
IP(10), No. 10, October 2001, pp. 1434-1446.
IEEE DOI 0110
BibRef

Woo, W.L., Khor, L.C.,
Blind restoration of nonlinearly mixed signals using multilayer polynomial neural network,
VISP(151), No. 1, February 2004, pp. 51-61.
IEEE Abstract. 0403
BibRef

Woo, W.L., Dlay, S.S.,
Regularised nonlinear blind signal separation using sparsely connected network,
VISP(152), No. 1, February 2005, pp. 61-73.
IEEE Abstract. 0501
BibRef

Woo, W.L., Dlay, S.S.,
Nonlinear blind source separation using a hybrid RBF-FMLP network,
VISP(152), No. 2, April 2005, pp. 173-183.
DOI Link 0510
BibRef

Khor, L.C., Woo, W.L., Dlay, S.S.,
Nonlinear blind signal separation with intelligent controlled learning,
VISP(152), No. 3, June 2005, pp. 297-306.
DOI Link 0510
BibRef

Wei, C., Woo, W.L., Dlay, S.S., Khor, L.C.,
Maximum a posteriori-based approach to blind nonlinear underdetermined mixture,
VISP(153), No. 4, August 2006, pp. 419-430.
WWW Link. 0705
BibRef

Sroubek, F., Flusser, J.,
Multichannel blind iterative image restoration,
IP(12), No. 9, September 2003, pp. 1094-1106.
IEEE DOI 0308
BibRef

Sroubek, F., Flusser, J.,
Multichannel Blind Deconvolution of Spatially Misaligned Images,
IP(14), No. 7, July 2005, pp. 874-883.
IEEE DOI 0506
BibRef

Lun, D.P.K., Chan, T.C.L., Hsung, T.C.[Tai-Chiu], Feng, D.D., Chan, Y.H.[Yuk-Hee],
Efficient blind image restoration using discrete periodic Radon transform,
IP(13), No. 2, February 2004, pp. 188-200.
IEEE DOI 0404
BibRef

Rabie, T.,
Robust Estimation Approach for Blind Denoising,
IP(14), No. 11, November 2005, pp. 1755-1765.
IEEE DOI 0510
BibRef

Liao, Y., Lin, X.,
Blind Image Restoration With Eigen-Face Subspace,
IP(14), No. 11, November 2005, pp. 1766-1772.
IEEE DOI 0510
BibRef

Takeuchi, Y.[Yoshinobu], Ooyagi, A.[Akira],
Blind Recover Conditions for Images with Side Information,
IEICE(E90-D), No. 9, September 2007, pp. 1469-1473.
DOI Link 0709
BibRef

Giannoula, A.,
Classification-Based Adaptive Filtering for Multiframe Blind Image Restoration,
IP(20), No. 2, February 2011, pp. 382-390.
IEEE DOI 1102
BibRef

Su, L.Y.[Li-Yun], Liu, R.H.[Rui-Hua],
Blind Image Restoration With Modified CMA,
IJIG(11), No. 1, January 2011, pp. 403-413.
DOI Link 1108
BibRef

Abolghasemi, V., Ferdowsi, S., Sanei, S.,
Blind Separation of Image Sources via Adaptive Dictionary Learning,
IP(21), No. 6, June 2012, pp. 2921-2930.
IEEE DOI 1202
BibRef

Ben Hadj, S., Blanc-Féraud, L., Aubert, G.,
Space Variant Blind Image Restoration,
SIIMS(7), No. 4, 2014, pp. 2196-2225.
DOI Link 1412
BibRef

Yoo, J.C.[Jae-Chern], Ahn, C.W.[Chang Wook],
Image restoration by blind-Wiener filter,
IET-IPR(8), No. 12, 2014, pp. 815-823.
DOI Link 1412
Wiener filters BibRef

Lebrun, M.[Marc], Colom, M.[Miguel], Morel, J.M.[Jean-Michel],
Multiscale Image Blind Denoising,
IP(24), No. 10, October 2015, pp. 3149-3161.
IEEE DOI 1507
Gaussian noise BibRef

Lebrun, M.[Marc], Colom, M.[Miguel], Morel, J.M.[Jean-Michel],
The Noise Clinic: a Blind Image Denoising Algorithm,
IPOL(5), 2015, pp. 1-54.
DOI Link 1503
Code, Denoising. BibRef
Earlier:
The noise clinic: A universal blind denoising algorithm,
ICIP14(2674-2678)
IEEE DOI 1502
Covariance matrices 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

Chen, F.[Fei], Zhang, L.[Lei], Yu, H.M.[Hui-Min],
External Patch Prior Guided Internal Clustering for Image Denoising,
ICCV15(603-611)
IEEE DOI 1602
Covariance matrices 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

Byun, J.[Jaeseok], Moon, T.[Taesup],
Learning Blind Pixelwise Affine Image Denoiser With Single Noisy Images,
SPLetters(27), 2020, pp. 1105-1109.
IEEE DOI 2007
Noise measurement, Noise reduction, Training, AWGN, Neural networks, Computational modeling, Transforms, variance stabilizing transformation BibRef

Wang, Y.M.[Yi-Ming], Chang, D.X.[Dong-Xia], Zhao, Y.[Yao],
A new blind image denoising method based on asymmetric generative adversarial network,
IET-IPR(15), No. 6, 2021, pp. 1260-1272.
DOI Link 2106
BibRef

Du, Y.[Yong], Han, G.Q.[Guo-Qiang], Tan, Y.J.[Yin-Jie], Xiao, C.F.[Chu-Feng], He, S.F.[Sheng-Feng],
Blind Image Denoising via Dynamic Dual Learning,
MultMed(23), 2021, pp. 2139-2152.
IEEE DOI 2107
Noise level, Image denoising, Noise reduction, Task analysis, Noise measurement, Estimation, Optimization, Blind image denoising, Gaussian noise BibRef

Ko, K.[Keunsoo], Koh, Y.J.[Yeong Jun], Kim, C.S.[Chang-Su],
Blind and Compact Denoising Network Based on Noise Order Learning,
IP(31), 2022, pp. 1657-1670.
IEEE DOI 2202
Noise reduction, Feature extraction, Noise measurement, Image denoising, Complexity theory, Training, Noise level, convolutional neural network BibRef

Liu, J.[Jing], Liu, R.C.[Run-Chuan], Zhao, S.S.[Shan-Shan],
Blind denoising using dense hybrid convolutional network,
IET-IPR(16), No. 8, 2022, pp. 2133-2147.
DOI Link 2205
BibRef

Thakur, R.K.[Ramesh Kumar], Maji, S.K.[Suman Kumar],
Multi scale pixel attention and feature extraction based neural network for image denoising,
PR(141), 2023, pp. 109603.
Elsevier DOI 2306
Blind Gaussian noise removal, Deep convolutional residual network, Convolutional layer, Skip connection BibRef

Lyu, Z.Y.[Zhi-Yu], Chen, Y.[Yan], Sun, H.J.[Hao-Jun], Hou, Y.M.[Yi-Min],
A dual fusion deep convolutional network for blind universal image denoising,
SP:IC(120), 2024, pp. 117077.
Elsevier DOI 2312
Blind image denoising, Deep convolutional neural network, Non-subsampled shearlet transform, Edge preservation BibRef

Yue, Z.S.[Zong-Sheng], Yong, H.W.[Hong-Wei], Zhao, Q.[Qian], Zhang, L.[Lei], Meng, D.Y.[De-Yu], Wong, K.Y.K.[Kwan-Yee K.],
Deep Variational Network Toward Blind Image Restoration,
PAMI(46), No. 11, November 2024, pp. 7011-7026.
IEEE DOI 2410
Task analysis, Degradation, Image restoration, Testing, Superresolution, Noise reduction, Bayes methods, Image restoration, variational inference BibRef

Liu, Y.Q.[Ying-Qi], He, J.W.[Jing-Wen], Liu, Y.H.[Yi-Hao], Lin, X.[Xinqi], Yu, F.[Fanghua], Hu, J.[Jinfan], Qiao, Y.[Yu], Dong, C.[Chao],
AdaptBIR: Adaptive Blind Image Restoration with latent diffusion prior for higher fidelity,
PR(155), 2024, pp. 110659.
Elsevier DOI 2408
Image restoration, Diffusion model, Adaptive adjustment BibRef

Fei, B.[Ben], Lyu, Z.Y.[Zhao-Yang], Pan, L.[Liang], Zhang, J.Z.[Jun-Zhe], Yang, W.D.[Wei-Dong], Luo, T.Y.[Tian-Yue], Wang, J.Y.[Jin-Yi], Dai, B.[Bo], He, Y.[Ying], Ouyang, W.L.[Wan-Li],
Generative Diffusion Prior for Unified Image and Video Restoration & Enhancement,
IJCV(134), No. 6, June 2026, pp. 269.
Springer DOI Code:
WWW Link. 2605
BibRef

Fei, B.[Ben], Lyu, Z.Y.[Zhao-Yang], Pan, L.[Liang], Zhang, J.Z.[Jun-Zhe], Yang, W.D.[Wei-Dong], Luo, T.Y.[Tian-Yue], Zhang, B.[Bo], Dai, B.[Bo],
Generative Diffusion Prior for Unified Image Restoration and Enhancement,
CVPR23(9935-9946)
IEEE DOI 2309
BibRef

Lin, X.[Xinqi], He, J.W.[Jing-Wen], Chen, Z.Y.[Zi-Yan], Lyu, Z.Y.[Zhao-Yang], Dai, B.[Bo], Yu, F.[Fanghua], Qiao, Y.[Yu], Ouyang, W.L.[Wan-Li], Dong, C.[Chao],
DIFFBIR: Toward Blind Image Restoration with Generative Diffusion Prior,
ECCV24(LIX: 430-448).
Springer DOI 2412
BibRef

Li, H.Y.[Hong-Yu], Xu, T.Y.[Tian-Yi], Wang, Z.Y.[Zeng-You], Zhen, X.T.[Xian-Tong], Gu, R.[Ran], Zhang, D.[David], Xu, J.[Jun],
Diagnosing and Improving Vector-Quantization-Based Blind Image Restoration,
IP(35), 2026, pp. 844-857.
IEEE DOI Code:
WWW Link. 2602
Image restoration, Image reconstruction, Codes, Decoding, Feature extraction, Transformers, Training, Image synthesis, Faces, self-in-cross-attention BibRef

Sun, Z.G.[Zhong-Gui], Zhang, C.[Can], Li, J.[Jie], Zhang, M.Z.[Ming-Zhu], Gao, X.B.[Xin-Bo],
WSformer: Wavelet-Based Sparse Transformer for Blind Image Restoration,
IP(35), 2026, pp. 6264-6275.
IEEE DOI Code:
WWW Link. 2606
Modeling, Image restoration, Transformers, Image denoising, Noise reduction, PSNR, Matrices, Strontium, wavelet transform BibRef

Eteke, C.[Cem], Griessel, A.[Alexander], Kellerer, W.[Wolfgang], Steinbach, E.[Eckehard],
BIR-Adapter: A parameter-efficient diffusion adapter for blind image restoration,
PR(179), 2026, pp. 113824.
Elsevier DOI 2606
Diffusion models, Blind image restoration, Parameter efficiency 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

Wang, C.[Chao], Zheng, Z.D.[Zhe-Dong], Quan, R.J.[Rui-Jie], Sun, Y.F.[Yi-Fan], Yang, Y.[Yi],
Context-Aware Pretraining for Efficient Blind Image Decomposition,
CVPR23(18186-18195)
IEEE DOI 2309
Remove multiple types of degradation at once without the noise type. BibRef

Maeda, S.,
Fast and Flexible Image Blind Denoising via Competition of Experts,
NTIRE20(2239-2247)
IEEE DOI 2008
Noise reduction, Training, Noise measurement, Task analysis, Learning systems, Noise level, Computational efficiency BibRef

Izadi, S., Mirikharaji, Z., Zhao, M., Hamarneh, G.,
WhiteNNer-Blind Image Denoising via Noise Whiteness Priors,
VRMI19(476-484)
IEEE DOI 2004
Noise measurement, Image denoising, Noise reduction, Image reconstruction, Training, Biomedical imaging, deep learning, blind image denoising BibRef

Li, T.[Ting], Papamichalis, P.E.[Panos E.],
A novel total variation optimization method and its application on blind super-resolution,
ICIP14(3892-3896)
IEEE DOI 1502
Equations BibRef

Li, H.Y.[Hong-Yan], Zhao, Q.H.[Qing-Hua], Zhao, J.Q.[Jing-Qing], Xiao, B.J.[Bao-Jin],
Blind Separation of Noisy Mixed Images Based on Wiener Filtering and Independent Component Analysis,
CISP09(1-5).
IEEE DOI 0910
BibRef

Jiang, X.N.[Xue-Na], Liu, Y.Y.[Yang-Yang], Wang, S.J.[Shou-Jue],
A Novel Geometric Algorithm for Blind Image Restoration Based on High-Dimensional Space,
CISP09(1-5).
IEEE DOI 0910
BibRef

Bar, L.[Leah], Sochen, N.A.[Nir A.], Kiryati, N.[Nahum],
Blind Space-Variant Single-Image Restoration of Defocus Blur,
SSVM17(109-120).
Springer DOI 1706
BibRef
And:
Restoration of Images with Piecewise Space-Variant Blur,
SSVM07(533-544).
Springer DOI 0705

See also Semi-Blind Image Restoration Via Mumford-Shah Regularization. BibRef

Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
Restoration by Deconvolution, Blind Deconvolution .