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Author:

Yin, Ming (Yin, Ming.) | Gao, Junbin (Gao, Junbin.) | Sun, Yanfeng (Sun, Yanfeng.) (Scholars:孙艳丰) | Cai, Shuting (Cai, Shuting.)

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EI Scopus

Abstract:

In this paper, a novel image blocky artifact removal scheme based on low-rank matrix recovery is proposed. The problem of suppressing blocky artifacts is formulated as recovering a low-rank matrix from corrupted observations. During the deblocking processing, we do not directly recover the whole clean image but only its high-frequency component and then synthesize the clean image by incorporating the low-frequency component of blocky image. To take advantage of the low-rank matrix recovery paradigm, we first cluster the similar patches of the high-frequency component of image via local pixel clustering, then the clean high-frequency component of image is recovered by formulating an optimization problem of the nuclear norm and 1-norm. The experimental results show that the proposed algorithm can achieve competitive performance in terms of both quantitative and subjective quality. © 2014 IEEE.

Keyword:

Speech communication Recovery Image processing Audio signal processing

Author Community:

  • [ 1 ] [Yin, Ming]School of Automation, Guangdong University of Technology, Guangzhou 510006, China
  • [ 2 ] [Gao, Junbin]School of Automation, Guangdong University of Technology, Guangzhou 510006, China
  • [ 3 ] [Gao, Junbin]School of Computing and Mathematics, Charles Sturt University, Bathurst, NSW 2795, Australia
  • [ 4 ] [Sun, Yanfeng]Beijing Municipal Key Lab of Multimedia and Intelligent Software Technology, Beijing University of Technology, Beijing 100124, China
  • [ 5 ] [Cai, Shuting]School of Automation, Guangdong University of Technology, Guangzhou 510006, China

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ISSN: 1520-6149

Year: 2014

Page: 1996-2000

Language: English

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ESI Highly Cited Papers on the List: 0 Unfold All

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Chinese Cited Count:

30 Days PV: 1

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