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


Vol. 27,  No. 10, pp. 1011-1020, Oct.  2002


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  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. thhe 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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  Cite this article

[IEEE Style]

S. Lee, K. Kwon, B. Kim, S. Kwon, J. Lee, K. Lee, "Blocking artifact reduction using singularities detection and Lipschitz regularity from multiscale edges," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 10, pp. 1011-1020, 2002. DOI: .

[ACM Style]

Suk-Hwang Lee, Kee-Koo Kwon, Byung-Ju Kim, Seong-Geun Kwon, Jong-won Lee, and Kuhn-Il Lee. 2002. Blocking artifact reduction using singularities detection and Lipschitz regularity from multiscale edges. The Journal of Korean Institute of Communications and Information Sciences, 27, 10, (2002), 1011-1020. DOI: .

[KICS Style]

Suk-Hwang Lee, Kee-Koo Kwon, Byung-Ju Kim, Seong-Geun Kwon, Jong-won Lee, Kuhn-Il Lee, "Blocking artifact reduction using singularities detection and Lipschitz regularity from multiscale edges," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 10, pp. 1011-1020, 10. 2002.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880