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Data-Driven Soft Decoding of Compressed Images in...
Journal article

Data-Driven Soft Decoding of Compressed Images in Dual Transform-Pixel Domain

Abstract

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 …

Authors

Liu X; Wu X; Zhou J; Zhao D

Journal

IEEE Transactions on Image Processing, Vol. 25, No. 4, pp. 1649–1659

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication Date

April 2016

DOI

10.1109/tip.2016.2526910

ISSN

1057-7149