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Blocking artifact reduction using singularities detection and Lipschitz regularity from multiscale edges  

Lee, Suk-Hwan (경북대학교 전자전기컴퓨터학부 오디오 및 비디오 시스템 공학 연구실)
Kwon, Kee-Koo (경북대학교 전자전기컴퓨터학부 오디오 및 비디오 시스템 공학 연구실)
Kim, Byung-Ju (경북대학교 전자전기컴퓨터학부 오디오 및 비디오 시스템 공학 연구실)
Kwon, Seong-Geun (경북대학교 전자전기컴퓨터학부 오디오 및 비디오 시스템 공학 연구실)
Lee, Jong-Won (경북대학교 전자전기컴퓨터학부 오디오 및 비디오 시스템 공학 연구실)
Lee, Kuhn-Il (경북대학교 전자전기컴퓨터학부 오디오 및 비디오 시스템 공학 연구실)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.27, no.10A, 2002 , pp. 1011-1020 More about this Journal
Abstract
The current paper presents an effective deblocking algorithm for block-based coded images using singularity detection in a wavelet transform. In block-based coded images, the local maxima of a wavelet transform modulus detect all singularities, including blocking artifacts, from multiscale edges. Accordingly, the current study discriminates between a blocking artifact and an edge by estimation the Lipschitz regularity of the local maxima and removing the wavelet transform modulus of a blocking artifact that has a negative Lipschitz regularity exponent. Experimental results showed that the performance of the proposed algorithm was objectively and subjectively superior.
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