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Data-driven soft decoding of compressed images in dual transform-pixel domain
Xianming Liu4; Xiaolin Wu2; Jiantao Zhou3; Debin Zhao4
Source PublicationIEEE Transactions on Image Processing

In the large body of research literature on image restoration, very few papers were concerned with compression-induced degradations, although in practice, the most common cause of image degradation is compression. This paper presents a novel approach to restoring JPEG-compressed images. The main innovation is in the approach of exploiting residual redundancies of JPEG code streams and sparsity properties of latent images. The restoration is a sparse coding process carried out jointly in the DCT and pixel domains. The prowess of the proposed approach is directly restoring DCT coefficients of the latent image to prevent the spreading of quantization errors into the pixel domain, and at the same time, using online machine-learned local spatial features to regulate the solution of the underlying inverse problem. Experimental results are encouraging and show the promise of the new approach in significantly improving the quality of DCT-coded images.

KeywordCompressed Image Restoration Machine Learning Soft Decoding Sparse Coding
URLView the original
Indexed BySCIE
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:000384889300005
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Cited Times [WOS]:31   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
Faculty of Science and Technology
Affiliation1.Shanghai Jiao Tong University
2.Department of Electrical and Computer Engineering, McMaster University, ON, Canada, L8S 4K1; and also with the Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
3.Department of Computer and Information Science, Faculty of Science and Technology, University of Macau, Macau 999078, China
4.School of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China
Recommended Citation
GB/T 7714
Xianming Liu,Xiaolin Wu,Jiantao Zhou,et al. Data-driven soft decoding of compressed images in dual transform-pixel domain[J]. IEEE Transactions on Image Processing,2016,25(4):1649-1659.
APA Xianming Liu,Xiaolin Wu,Jiantao Zhou,&Debin Zhao.(2016).Data-driven soft decoding of compressed images in dual transform-pixel domain.IEEE Transactions on Image Processing,25(4),1649-1659.
MLA Xianming Liu,et al."Data-driven soft decoding of compressed images in dual transform-pixel domain".IEEE Transactions on Image Processing 25.4(2016):1649-1659.
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