The Improved Binary Tree Vector Quantization Using Spatial Sensitivity of HVS

Abstract:

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In this paper, we proposed an improved binary tree vector quantization in special consideration of the area of spatial sensitivity which is an important characteristic of the human visual system. We regarded spatial sensitivity as a function of the human visual system, which works using variations of the three primary colors in blocks of input images. In addition, we applied the weight derived from HVS spatial sensitivity to the process of splitting nodes using eigenvectors in binary tree vector quantization. The test results showed that the proposed method provided better visual quality and greater PSNR than conventional methods.

Info:

Periodical:

Key Engineering Materials (Volumes 277-279)

Edited by:

Kwang Hwa Chung, Yong Hyeon Shin, Sue-Nie Park, Hyun Sook Cho, Soon-Ae Yoo, Byung Joo Min, Hyo-Suk Lim and Kyung Hwa Yoo

Pages:

254-258

DOI:

10.4028/www.scientific.net/KEM.277-279.254

Citation:

N. J. Kwak et al., "The Improved Binary Tree Vector Quantization Using Spatial Sensitivity of HVS", Key Engineering Materials, Vols. 277-279, pp. 254-258, 2005

Online since:

January 2005

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Price:

$35.00

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