5.4.2.1 Block Coding -- Reduce Block Artifacts, Effects, Deblocking

Zhao, C., Ma, S., Zhang, J., Xiong, R., Gao, W.,
Video Compressive Sensing Reconstruction via Reweighted Residual Sparsity,
CirSysVideo(27), No. 6, June 2017, pp. 1182-1195.
IEEE DOI 1706
Compressed sensing, Correlation, Image reconstruction, Minimization, Prediction algorithms, Sensors, Transforms, Compressive sensing (CS), multihypothesis (MH) prediction, reweighted l1 minimization, split Bregman iteration (SBI), video, CS reconstruction BibRef

Zhang, J., Xiong, R., Zhao, C., Zhang, Y., Ma, S., Gao, W.,
CONCOLOR: Constrained Non-Convex Low-Rank Model for Image Deblocking,
IP(25), No. 3, March 2016, pp. 1246-1259.
IEEE DOI 1602
Discrete cosine transforms BibRef

Liu, X., Wu, X., Zhou, J., Zhao, D.,
Data-Driven Soft Decoding of Compressed Images in Dual Transform-Pixel Domain,
IP(25), No. 4, April 2016, pp. 1649-1659.
IEEE DOI 1604
data compression BibRef

Kayhan, S.K.[Sema Koç],
Efficient robust filtering technique for blocking artifacts reduction,
VC(32), No. 4, April 2016, pp. 417-427.
WWW Link. 1604
BibRef

Hsia, S.C.[Shih-Chang], Hsiao, C.H.[Cheng Hung],
Fast-efficient shape error concealment technique based on block classification,
IET-IPR(10), No. 10, 2016, pp. 693-700.
DOI Link 1610
edge detection BibRef

Wu, J., Cao, F., Yin, J.,
Nonlocaly Multi-Morphological Representation for Image Reconstruction From Compressive Measurements,
IP(26), No. 12, December 2017, pp. 5730-5742.
IEEE DOI 1710
image reconstruction, iterative methods, mixture models, PMDE, image reconstruction, nonlinear estimation, nonlocal similarity clustering, undesirable block artifact suppression BibRef

Nadernejad, E.[Ehsan],
Post-processing of video sequences using deblocking and adaptive trilateral filtering,
SIViP(11), No. 8, November 2017, pp. 1493-1500.
WWW Link. 1710
BibRef

Zhao, C., Zhang, J., Ma, S., Fan, X., Zhang, Y., Gao, W.,
Reducing Image Compression Artifacts by Structural Sparse Representation and Quantization Constraint Prior,
CirSysVideo(27), No. 10, October 2017, pp. 2057-2071.
IEEE DOI 1710
Adaptation models, Bit rate, Discrete cosine transforms, Image coding, Quantization (signal), Transform coding, Blocking artifact reduction, image deblocking, quantization constraint (QC), sparse, representation BibRef

Chen, Y.J.[Yun-Jin],
Variational JPEG artifacts suppression based on high-order MRFs,
SP:IC(52), No. 1, 2017, pp. 33-40.
Elsevier DOI 1701
JPEG deblocking BibRef

Morgenshtern, V.I.[Veniamin I.], Candès, E.J.[Emmanuel J.],
Super-Resolution of Positive Sources: The Discrete Setup,
SIIMS(9), No. 1, 2016, pp. 412-444.
DOI Link 1604
BibRef

Fernandez-Granda, C.[Carlos], Candes, E.J.[Emmanuel J.],
Super-resolution via Transform-Invariant Group-Sparse Regularization,
ICCV13(3336-3343)
IEEE DOI 1403
Super-resolution BibRef

Li, T., He, X., Qing, L., Teng, Q., Chen, H.,
An Iterative Framework of Cascaded Deblocking and Superresolution for Compressed Images,
MultMed(20), No. 6, June 2018, pp. 1305-1320.
IEEE DOI 1805
Correlation, Degradation, Hafnium, Image coding, Image edge detection, Image resolution, Quantization (signal), sparse representation BibRef

Risnandar, Aritsugi, M.[Masayoshi],
Deblocking Artifact of Satellite Image Based on Adaptive Soft-Threshold Anisotropic Filter Using Wavelet,
IEICE(E101-D), No. 6, June 2018, pp. 1605-1620.
WWW Link. 1806
BibRef

Wang, X.[Xu], Zhang, P.P.[Ping-Ping], Zhang, Y.[Yun], Ma, L.[Lin], Kwong, S.[Sam], Jiang, J.M.[Jian-Min],
Deep intensity guidance based compression artifacts reduction for depth map,
JVCIR(57), 2018, pp. 234-242.
Elsevier DOI 1812
Convolutional neural network, Compression artifacts reduction, JPEG compression, Depth map BibRef

Chen, H., He, X., An, C., Nguyen, T.Q.,
Deep Wide-Activated Residual Network Based Joint Blocking and Color Bleeding Artifacts Reduction for 4:2:0 JPEG-Compressed Images,
SPLetters(26), No. 1, January 2019, pp. 79-83.
IEEE DOI 1901
data compression, image coding, image colour analysis, image resolution, image restoration, network theory (graphs), wide-activated residual network BibRef

Galteri, L.[Leonardo], Seidenari, L., Bertini, M.[Marco], del Bimbo, A.[Alberto],
Deep Universal Generative Adversarial Compression Artifact Removal,
MultMed(21), No. 8, August 2019, pp. 2131-2145.
IEEE DOI 1908
BibRef
Earlier:
Deep Generative Adversarial Compression Artifact Removal,
ICCV17(4836-4845)
IEEE DOI 1802
convolutional neural nets, data compression, image coding, image restoration, object detection. data compression, mean square error methods, optimisation, GAN, MSE, Image resolution BibRef

Esmaeilzehi, A., Ahmad, M.O., Swamy, M.N.S.,
Deep Jpeg Image Deblocking Using Residual Maxout Units,
ICIP19(2681-2685)
IEEE DOI 1910
JPEG Image Deblocking, Residual Learning, Deep Learning BibRef

Kim, Y., Soh, J.W., Park, J., Ahn, B., Lee, H., Moon, Y., Cho, N.I.,
A Pseudo-Blind Convolutional Neural Network for the Reduction of Compression Artifacts,
CirSysVideo(30), No. 4, April 2020, pp. 1121-1135.
IEEE DOI 2004
Image coding, Q-factor, Transform coding, Image restoration, Kernel, Training, Decoding, Convolutional neural network, compression quality factor BibRef

Mu, J., Xiong, R., Fan, X., Liu, D., Wu, F., Gao, W.,
Graph-Based Non-Convex Low-Rank Regularization for Image Compression Artifact Reduction,
IP(29), 2020, pp. 5374-5385.
IEEE DOI 2004
Image coding, Image reconstruction, Laplace equations, Manifolds, Euclidean distance, Transforms, Quantization (signal), compression artifact reduction BibRef

Hu, J.[Jing], Zhou, X.[Xin], Ren, C.[Chao], Li, X.L.[Xing-Long], He, X.H.[Xiao-Hai],
Image deblocking via shape-adaptive low-rank prior and sparsity-based detail enhancement,
SP:IC(86), 2020, pp. 115874.
Elsevier DOI 2006
Image deblocking, Shape-adaptive low-rank prior, Quantization constraint, Detail enhancement BibRef

Rajasekar, G.[Ganesh], Wang, Z.[Zhou],
Detecting Macroblocking in Images Caused by Transmission Error,
ICIAR20(I:66-70).
Springer DOI 2007
BibRef

He, X., Liu, Q., Yang, Y.,
MV-GNN: Multi-View Graph Neural Network for Compression Artifacts Reduction,
IP(29), 2020, pp. 6829-6840.
IEEE DOI 2007
Image coding, Neural networks, Transform coding, Feature extraction, Image reconstruction, multi-view video compression BibRef

Akbari, A., Trocan, M., Sanei, S., Granado, B.,
Joint Sparse Learning With Nonlocal and Local Image Priors for Image Error Concealment,
CirSysVideo(30), No. 8, August 2020, pp. 2559-2574.
IEEE DOI 2008
Dictionaries, Packet loss, Image reconstruction, Minimization, Image resolution, Training, Robust image transmission, packet loss, mapping learning BibRef

Li, J.W.[Jian-Wei], Wang, Y.T.[Yong-Tao], Xie, H.H.[Hai-Hua], Ma, K.K.[Kai-Kuang],
Learning a Single Model With a Wide Range of Quality Factors for JPEG Image Artifacts Removal,
IP(29), 2020, pp. 8842-8854.
IEEE DOI 2009
Image coding, Q-factor, Image restoration, Transform coding, Image quality, Quantization (signal), Feature extraction, quantization table BibRef

Ji, J.H.[Jia-Huan], Zhong, B.J.[Bao-Jiang], Song, W.G.[Wei-Gang], Ma, K.K.[Kai-Kuang],
Learning Multi-Scale Features for JPEG Image Artifacts Removal,
ICIP23(1565-1569)
IEEE DOI 2312
BibRef

Li, J.W.[Jian-Wei], Wang, Y.T.[Yong-Tao], Xie, H.H.[Hai-Hua], Ma, K.K.[Kai-Kuang],
Learning Local and Global Priors for JPEG Image Artifacts Removal,
SPLetters(27), 2020, pp. 2134-2138.
IEEE DOI 2012
Image coding, Training, Convolution, Deep learning, Transform coding, Task analysis, Image quality, Compression artifacts removal, JPEG BibRef

Amaranageswarao, G.[Gadipudi], Deivalakshmi, S., Ko, S.B.[Seok-Bum],
Blind compression artifact reduction using dense parallel convolutional neural network,
SP:IC(89), 2020, pp. 116009.
Elsevier DOI 2010
Compression artifacts, Feature redundancy, Lossy compression, Parallel convolution, Quality factor, Skip connection BibRef

Zheng, B.L.[Bo-Lun], Chen, Y.W.[Yao-Wu], Tian, X.[Xiang], Zhou, F.[Fan], Liu, X.S.[Xue-Song],
Implicit Dual-Domain Convolutional Network for Robust Color Image Compression Artifact Reduction,
CirSysVideo(30), No. 11, November 2020, pp. 3982-3994.
IEEE DOI 2011
Color adds other problems. Image coding, Discrete cosine transforms, Color, Quantization (signal), Transform coding, Convolution, dilated convolution BibRef

Jin, Z., Iqbal, M.Z., Zou, W., Li, X., Steinbach, E.,
Dual-Stream Multi-Path Recursive Residual Network for JPEG Image Compression Artifacts Reduction,
CirSysVideo(31), No. 2, February 2021, pp. 467-479.
IEEE DOI 2102
Image coding, Training, Transform coding, Automobiles, Task analysis, Hafnium, Dual-stream, structure-texture decomposition, recursive residual network BibRef

Xiang, X.Y.[Xiao-Yu], Lin, Q.[Qian], Allebach, J.P.[Jan P.],
Boosting High-Level Vision with Joint Compression Artifacts Reduction and Super-Resolution,
ICPR21(2390-2397)
IEEE DOI 2105
Visualization, Image coding, Text recognition, Computational modeling, Ultraviolet sources, Superresolution, Automobiles BibRef

Chen, Z.X.[Zheng-Xin], He, X.[Xiaohai], Ren, C.[Chao], Karn, P.[Pradeep], Xiong, S.H.[Shu-Hua],
Enhanced wide-activated residual network for efficient and accurate image deblocking,
SP:IC(96), 2021, pp. 116283.
Elsevier DOI 2106
Image deblocking, Convolutional neural network, Wide activation, Overlapping patches extraction, Overlapping patches combination BibRef

Chen, Z.X.[Zheng-Xin], He, X.H.[Xiao-Hai], Ren, C.[Chao], Chen, H.G.[Hong-Gang], Zhang, T.R.[Ting-Rong],
Enhanced Separable Convolution Network for Lightweight JPEG Compression Artifacts Reduction,
SPLetters(28), 2021, pp. 1280-1284.
IEEE DOI 2107
Convolution, Feature extraction, Image coding, Kernel, Transform coding, Training, Image reconstruction, multi-scale feature BibRef

Du, X.L.[Xiu-Li], Liu, J.[Jinting], Zhang, W.[Wei], Lv, Y.[Ya'na],
Blocking artefacts reduction based on a ripple matrix permutation image of high-frequency images in the wavelet domain,
IET-IPR(15), No. 10, 2021, pp. 2342-2350.
DOI Link 2108
BibRef

Kopperundevi, P., Prakash, M.S.[Matcha Surya], Ahamed, S.R.[Shaik Rafi],
A high throughput hardware architecture for deblocking filter in HEVC,
SP:IC(100), 2022, pp. 116517.
Elsevier DOI 2112
Deblocking filter, H.265/HEVC, Pipelining, Parallel processing, Application specific integrated circuit, Field programmable gate array BibRef

Zhang, Y.[Yi], Chandler, D.M.[Damon M.], Mou, X.[Xuanqin],
Multi-domain residual encoder-decoder networks for generalized compression artifact reduction,
JVCIR(83), 2022, pp. 103425.
Elsevier DOI 2202
Artifact reduction, Residual network, Compression artifact, Quality factor estimation BibRef

Kim, C.[Changick],
Adaptive post-filtering for reducing blocking and ringing artifacts in low bit-rate video coding,
SP:IC(17), No. 7, August 2002, pp. 525-535.
Elsevier DOI 0208
BibRef

Kwon, M.J.[Myung-Joon], Nam, S.H.[Seung-Hun], Yu, I.J.[In-Jae], Lee, H.K.[Heung-Kyu], Kim, C.[Changick],
Learning JPEG Compression Artifacts for Image Manipulation Detection and Localization,
IJCV(130), No. 8, August 2022, pp. 1875-1895.
Springer DOI 2207
BibRef

Shao, T.[Tong], Liu, T.Q.[Tian-Qi], Wu, D.P.[Da-Peng], Tsai, C.Y.[Chia-Yang], Lei, Z.J.[Zhi-Jun], Katsavounidis, I.[Ioannis],
PTR-CNN for in-loop filtering in video coding,
JVCIR(88), 2022, pp. 103615.
Elsevier DOI 2210
Video coding, Blocking artifact, In-loop filter, Convolutional neural network, Image quality assessment BibRef

Liu, D.S.[Dong-Sheng], Yu, R.[Runyi], Chen, W.G.[Wei-Gang],
Compression artifact reduction of low bit-rate videos via deep neural networks using self-similarity prior,
IET-IPR(17), No. 2, 2023, pp. 480-491.
DOI Link 2302
BibRef

Naruko, T.[Takahiro], Akutsu, H.[Hiroaki], Tsubota, K.[Koki], Aizawa, K.[Kiyoharu],
Quality Enhancement of Conventional Compression with a Learned Side Bitstream,
IEICE(E106-D), No. 8, August 2023, pp. 1296-1299.
WWW Link. 2308
BibRef

Zhang, Y.[Yi], Chandler, D.M.[Damon M.], Mou, X.[Xuanqin],
Deep steerable pyramid wavelet network for unified JPEG compression artifact reduction,
SP:IC(118), 2023, pp. 117011.
Elsevier DOI 2310
Compression artifact reduction, Steerable pyramid wavelet transform, Quality factor, Residual learning BibRef

Chen, Y.Y.[Yi-Yun], Liu, Y.[Yunmeng], Chen, M.L.[Ming-Liang], Wang, Z.[Zirui], Yang, W.M.[Wen-Ming], Liao, Q.M.[Qing-Min],
Blind JPEG Compression Artifacts Removal by Integrating Channel Regulation With Exit Strategy,
MultMed(25), 2023, pp. 7274-7286.
IEEE DOI 2311
BibRef

Gan, H.P.[Hong-Ping], Guo, Z.[Zhen], Liu, F.[Feng],
NesTD-Net: Deep NESTA-Inspired Unfolding Network With Dual-Path Deblocking Structure for Image Compressive Sensing,
IP(33), 2024, pp. 1923-1937.
IEEE DOI 2403
Image reconstruction, Optimization, Convergence, Iterative algorithms, Smoothing methods, unfolding architecture BibRef

Jiang, N.F.[Nan-Feng], Chen, W.L.[Wei-Ling], Lin, J.[Jielian], Zhao, T.S.[Tie-Song], Lin, C.W.[Chia-Wen],
Video Compression Artifacts Removal With Spatial-Temporal Attention-Guided Enhancement,
MultMed(26), 2024, pp. 5657-5669.
IEEE DOI 2404
Task analysis, Visualization, Bit rate, Image coding, Video coding, Computational complexity, Video compression, Video coding, video quality BibRef

Welker, S.[Simon], Chapman, H.N.[Henry N.], Gerkmann, T.[Timo],
DriftRec: Adapting Diffusion Models to Blind JPEG Restoration,
IP(33), 2024, pp. 2795-2807.
IEEE DOI 2404
Image restoration, Transform coding, Task analysis, Adaptation models, Training, Image coding, Turning, Diffusion models, image restoration BibRef

Peng, L.[Long], Cao, Y.[Yang], Sun, Y.J.[Yue-Jin], Wang, Y.[Yang],
Lightweight Adaptive Feature De-Drifting for Compressed Image Classification,
MultMed(26), 2024, pp. 6424-6436.
IEEE DOI 2404
Image coding, Transform coding, Discrete cosine transforms, Feature extraction, Performance evaluation, Mobile handsets, JPEG compression BibRef

Ma, L.[Li], Zhao, Y.F.[Yi-Fan], Peng, P.X.[Pei-Xi], Tian, Y.H.[Yong-Hong],
Sensitivity Decouple Learning for Image Compression Artifacts Reduction,
IP(33), 2024, pp. 3620-3633.
IEEE DOI 2406
Image coding, Semantics, Task analysis, Learning systems, Visualization, Videos, Filters, Compression artifacts reduction, compression-insensitive features BibRef

Li, J.C.[Jia-Cheng], Chen, C.[Chang], Cheng, Z.[Zhen], Xiong, Z.W.[Zhi-Wei],
Toward DNN of LUTs: Learning Efficient Image Restoration With Multiple Look-Up Tables,
PAMI(46), No. 12, December 2024, pp. 8284-8301.
IEEE DOI 2411
Table lookup, Indexing, Image restoration, Superresolution, Task analysis, Radio frequency, Noise reduction, deblocking BibRef

Ahsan, S.S.[Syed Safwan], Esmaeilzehi, A.[Alireza], Ahmad, M.O.[M. Omair],
OODNet: A deep blind JPEG image compression deblocking network using out-of-distribution detection,
JVCIR(104), 2024, pp. 104302.
Elsevier DOI 2411
Deep learning, JPEG image compression deblocking, Out-of-distribution detection BibRef

Xing, Q.L.[Qun-Liang], Xu, M.[Mai], Li, S.X.[Sheng-Xi], Deng, X.[Xin], Zheng, M.S.[Mei-Song], Liu, H.[Huaida], Chen, Y.[Ying],
Enhancing Quality of Compressed Images by Mitigating Enhancement Bias Towards Compression Domain,
CVPR24(25501-25511)
IEEE DOI 2410
Image quality, Image coding BibRef

Dao, L.T.H.[Le Thi Hue], Vien, A.G.[An Gia], Lee, J.Y.[Joo-Young], Jeong, S.[Seyoon], Lee, C.[Chul],
Restoration of Extremely Compressed Background for VCM Using Guided Generative Priors,
ICIP23(1190-1194)
IEEE DOI 2312
BibRef

Höck, E.[Eva], Buchholz, T.O.[Tim-Oliver], Brachmann, A.[Anselm], Jug, F.[Florian], Freytag, A.[Alexander],
N2V2 - Fixing Noise2void Checkerboard Artifacts with Modified Sampling Strategies and a Tweaked Network Architecture,
BioImage22(503-518).
Springer DOI 2304
BibRef

Liu, M.[Maomei], Tang, L.[Lei], Fan, L.[Lijia], Zhong, S.[Sheng], Luo, H.Z.[Hang-Zai], Peng, J.Y.[Jin-Ye],
CARNet: Context-Aware Residual Learning for JPEG-LS Compressed Remote Sensing Image Restoration,
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Sun, Y.J.[Yue-Jin], Wang, Y.[Yang], Cao, Y.[Yang], Zha, Z.J.[Zheng-Jun],
Lightweight Wavelet-Based Network for JPEG Artifacts Removal,
MMMod22(II:134-145).
Springer DOI 2203
BibRef

Jiang, J.X.[Jia-Xi], Zhang, K.[Kai], Timofte, R.[Radu],
Towards Flexible Blind JPEG Artifacts Removal,
ICCV21(4977-4986)
IEEE DOI 2203
Q-factor, Degradation, Training, Measurement, Visualization, Transform coding, Training data, Computational photography BibRef

Fu, X.Y.[Xue-Yang], Wang, X.[Xi], Liu, A.[Aiping], Han, J.W.[Jun-Wei], Zha, Z.J.[Zheng-Jun],
Learning Dual Priors for JPEG Compression Artifacts Removal,
ICCV21(4066-4075)
IEEE DOI 2203
Training, Deep learning, Image coding, Transform coding, Benchmark testing, Network architecture, BibRef

Ehrlich, M.[Max], Davis, L.[Larry], Lim, S.N.[Ser-Nam], Shrivastava, A.[Abhinav],
Analyzing and Mitigating JPEG Compression Defects in Deep Learning,
MELEX21(2357-2367)
IEEE DOI 2112
Deep learning, Training, Image coding, Transform coding, Video compression, Benchmark testing BibRef

Lee, D.[Donghyeon], Lee, C.H.[Chul-Hee], Kim, T.[Taesung],
Wide Receptive Field and Channel Attention Network for JPEG Compressed Image Deblurring,
NTIRE21(304-313)
IEEE DOI 2109
Image coding, Convolution, Transform coding, Data models BibRef

Mameli, F.[Filippo], Bertini, M.[Marco], Galteri, L.[Leonardo], del Bimbo, A.[Alberto],
A NoGAN approach for image and video restoration and compression artifact removal,
ICPR21(9326-9332)
IEEE DOI 2105
Training, Measurement, Visualization, Image coding, Superresolution, Video compression, Image restoration BibRef

Ma, H., Liu, D., Wu, F.,
Improving Compression Artifact Reduction via End-to-End Learning of Side Information,
VCIP20(403-406)
IEEE DOI 2102
Image coding, Neural networks, Decoding, Training, Feature extraction, Computational modeling, Transform coding, side information BibRef

Shah, R.,
Evolutionary Algorithm Based Residual Block Search for Compression Artifact Removal,
IVCNZ20(1-6)
IEEE DOI 2012
Image coding, Transform coding, Evolutionary computation, Task analysis, Standards, Image processing BibRef

Peng, M., Wan, W., Liu, Z., Wang, Y., Di, K.,
Evaluation of Deblocking Methods for Chang'e-4 Descent Images,
ISPRS20(B3:1137-1141).
DOI Link 2012
BibRef

Le Moan, S., Pedersen, M., Chetouani, A.,
High-Level Visual Masking of Image Compression Artefacts,
ICIP20(166-170)
IEEE DOI 2011
Visualization, Transform coding, Observers, Feature extraction, Image coding, Blindness, Correlation, Image Quality Assessment, Change Blindness. BibRef

Esmaeilzehi, A., Ahmad, M.O., Swamy, M.N.S.,
Development Of New Fractal And Non-Fractal Deep Residual Networks For Deblocking Of JPEG Decompressed Images,
ICIP20(1271-1275)
IEEE DOI 2011
Transform coding, Convolution, Fractals, Neural networks, Kernel, Image coding, Deep Learning, JPEG Image Deblocking BibRef

Jia, W., Li, L., Li, Z., Zhang, X., Liu, S.,
Residual Guided Deblocking With Deep Learning,
ICIP20(3109-3113)
IEEE DOI 2011
Encoding, Video coding, Convolution, Training, Image reconstruction, Adaptation models, Neural networks, Convolutional Neural Network, Residual BibRef