Efficient image/video deblocking via sparse representation

Yi Wen Chiou, Chia Hung Yeh*, Li Wei Kang, Chia Wen Lin, Shu Jhen Fan-Jiang

*此作品的通信作者

研究成果: 書貢獻/報告類型會議論文篇章

8 引文 斯高帕斯(Scopus)

摘要

Blocking artifact, characterized by visually noticeable changes in pixel values along block boundaries, is a common problem in block-based image/video compression, especially at low bitrate coding. Various post-processing techniques have been proposed to reduce blocking artifacts, but they usually introduce excessive blurring or ringing effects. This paper proposes a self-learning-based image/video deblocking framework via properly formulating deblocking as an MCA (morphological component analysis)-based image decomposition problem via sparse representation. The proposed method first decomposes an image/video frame into the low-frequency and high-frequency parts by applying BM3D (block-matching and 3D filtering) algorithm. The high-frequency part is then decomposed into a 'blocking component' and a 'non-blocking component' by performing dictionary learning and sparse coding based on MCA. As a result, the blocking component can be removed from the image/video frame successfully while preserving most original image/video details. Experimental results demonstrate the efficacy of the proposed algorithm.

原文英語
主出版物標題2012 IEEE Visual Communications and Image Processing, VCIP 2012
DOIs
出版狀態已發佈 - 2012
對外發佈
事件2012 IEEE Visual Communications and Image Processing, VCIP 2012 - San Diego, CA, 美国
持續時間: 2012 十一月 272012 十一月 30

出版系列

名字2012 IEEE Visual Communications and Image Processing, VCIP 2012

會議

會議2012 IEEE Visual Communications and Image Processing, VCIP 2012
國家/地區美国
城市San Diego, CA
期間2012/11/272012/11/30

ASJC Scopus subject areas

  • 電腦視覺和模式識別

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