Blocking artifact reduction using singularities detection and Lipschitz regularity from multiscale edges
Suk‐Hwan Lee, Kee-Koo Kwon, Byung-Ju Kim, Seong-Geun Kwon, Jong‐Won Lee, Kuhn-Il Lee · 2002
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.