Quantization Noise Reduction in Block-Coded Video Using the Characteristics of Block Boundary Area 


Vol. 12,  No. 3, pp. 223-232, Jun.  2005
10.3745/KIPSTB.2005.12.3.223


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  Abstract

In this paper, we propose a novel post-filtering algorithm with low computational complexity that improves the visual quality of decoded images using block boundary classification and simple adaptive filter (SAF). At first, each block boundary is classified into smooth or complex sub-region. And for smooth-smooth sub-regions, the existence of blocking artifacts is determined using blocky strength. And simple adaptive filtering is processed in each block boundary area. The proposed method processes adaptively, that is, a nonlinear 1-D 8-tap filter is applied to smooth-smooth sub-regions with blocking artifacts, and for smooth-complex or complex-smooth sub-regions, a nonlinear 1-D variant filter is applied to block boundary pixels so as to reduce the blocking and ringing artifacts. And for complex-complex sub-regions, a nonlinear 1-D 2-tap filter is only applied to adjust two block boundary pixels so as to preserve the image details. Experimental results show that the proposed algorithm produced better results than those of conventional algorithms both subjective and objective viewpoints.

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[IEEE Style]

K. K. Kwon, M. S. Yang, J. S. Ma, S. H. Im, D. S. Lim, "Quantization Noise Reduction in Block-Coded Video Using the Characteristics of Block Boundary Area," The KIPS Transactions:PartB , vol. 12, no. 3, pp. 223-232, 2005. DOI: 10.3745/KIPSTB.2005.12.3.223.

[ACM Style]

Kee Koo Kwon, Man Seok Yang, Jin Suk Ma, Sung Ho Im, and Dong Sun Lim. 2005. Quantization Noise Reduction in Block-Coded Video Using the Characteristics of Block Boundary Area. The KIPS Transactions:PartB , 12, 3, (2005), 223-232. DOI: 10.3745/KIPSTB.2005.12.3.223.

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