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Deblocking Algorithm for Block-Based Coded Images Using Singularity Detection from Multiscale Edges Suk-Hwan LEE Seong-Geun KWON Kee-Koo KWON Byung-Ju KIM Jong-Won LEE Kuhn-Il LEE Publication IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Vol.E86-A No.8 pp.2172-2178 Publication Date: 2003/08/01 Online ISSN: DOI: Print ISSN: 0916-8508 Type of Manuscript: LETTER Category: Image Keyword: blocking artifact, singularity, multiscale edge, local maxima, Lipschitz regularity, Full Text: PDF(745.9KB)>>
Summary: The current paper presents an effective deblocking algorithm for block-based coded images using singularity detection in a wavelet transform. Blocking artifacts appear periodically at block boundaries 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 estimating 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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