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Reduction of blocking artifacts using the local moduls maxima and singularity detection in wavelet transform  

이석환 (경북대학교 전기전자컴퓨터학부)
김승진 (경북대학교 전기전자컴퓨터학부)
김태수 (경북대학교 전기전자컴퓨터학부)
이건일 (경북대학교 전기전자컴퓨터학부)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.41, no.6, 2004 , pp. 109-120 More about this Journal
Abstract
The current paper presents an effective deblocking algorithm for block-based coded images using singularity detection in Mallat wavelet transform. In block-based coded images. The local maxima of the wavelet transform modulus detect all singularities, including blocking artifacts, from multiscale edges. Accordingly, the current study discriminates between blocking artifacts and edges by estimating the Lipschitz regularity of the local maxima and removing the wavelet transform modulus of blocking artifacts. Experimental results showed that the performance of the proposed algorithm was objectively and subjectively superior.
Keywords
blocking artifacts; singularity; multiscale edges; local maxima; Lipschitz regularity;
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