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>>
Buy this Article




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.