Blocking Artifact Reduction Algorithm Using Classification of Block Boundary Area and Dithering 


Vol. 27,  No. 5, pp. 475-481, May  2002


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  Abstract

In this paper, we proposed a blocking artifact reduction algorithm using an adaptive filter based on the classification of the block boundary area. In the proposed method, the staircase noise and the comer outlier are reduced. For block boundary with blocking artifacts and the block including edge, grid noise and the ringing artifact is removed by applying an adaptive filter. Finally, we dither the image so that the high frequency components are added to only the block boundary in which the natural characteristic is lost by an adaptive filter. The performance of the proposed method is investigated by computer simulation in comparison with the traditional method. In the experimental results, we confirm that the proposed algorithm shows better performance in the subjective and objective image quality than the conventional algorithms.

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  Cite this article

[IEEE Style]

G. Lee, K. Kwon, J. Lee, S. Kwon, S. Ban, K. Park, K. Lee, "Blocking Artifact Reduction Algorithm Using Classification of Block Boundary Area and Dithering," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 5, pp. 475-481, 2002. DOI: .

[ACM Style]

Gun-Woo Lee, Kee-Koo Kwon, Jong-Woo Lee, Seong-Geun Kwon, Seong-Won Ban, Kyung-Nam Park, and Kuhn-Il Lee. 2002. Blocking Artifact Reduction Algorithm Using Classification of Block Boundary Area and Dithering. The Journal of Korean Institute of Communications and Information Sciences, 27, 5, (2002), 475-481. DOI: .

[KICS Style]

Gun-Woo Lee, Kee-Koo Kwon, Jong-Woo Lee, Seong-Geun Kwon, Seong-Won Ban, Kyung-Nam Park, Kuhn-Il Lee, "Blocking Artifact Reduction Algorithm Using Classification of Block Boundary Area and Dithering," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 5, pp. 475-481, 5. 2002.