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Proceedings Paper

Fast block-matching algorithm using threshold-based half stop, cross search, and partial distortion elimination
Author(s): Jong-Nam Kim; Tae-Sun Choi
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Paper Abstract

New three-step search (NTSS) algorithm obtains good picture quality in predicted images with more reduced computation on the average. To reduce more the computation while keeping error performance compared with NTSS, this paper proposes a fast NTSS algorithm using unimodal error surface assumption correlation of causal adjacent matching errors, partial distortion elimination (PDE) algorithm and cross search algorithm. Proposing algorithm reduces less important checking points of the first step in the NTSS by using initial sum of absolute difference (SAD) and adaptive threshold of SAD. Instead of checking seventeen candidate points in the first step like the NTSS, our search algorithm starts with nine checking points according to the result of comparison between initial SAD and adaptive threshold of SAD. We get adaptive threshold of SAD according to the causal adjacent SADs. For more computational reduction without any degradation in prediction quality, we employ PDE and cross search algorithm. Therefore, we can apply this algorithm to variety of applications because the threshold is adaptive to the characteristics of each sequence. Experimentally, our algorithm shows good performance in terms of PSNR of predicted images and average-checking points for each block compared with the conventional NTSS and TSS algorithms.

Paper Details

Date Published: 19 April 2000
PDF: 9 pages
Proc. SPIE 3974, Image and Video Communications and Processing 2000, (19 April 2000); doi: 10.1117/12.383023
Show Author Affiliations
Jong-Nam Kim, Kwangju Institute of Science and Technology (South Korea)
Tae-Sun Choi, Kwangju Institute of Science and Technology (South Korea)


Published in SPIE Proceedings Vol. 3974:
Image and Video Communications and Processing 2000
Bhaskaran Vasudev; T. Russell Hsing; Andrew G. Tescher; Robert L. Stevenson, Editor(s)

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