The Improved Binary Tree Vector Quantization Using Spatial Sensitivity of HVS


The KIPS Transactions:PartB , Vol. 11, No. 1, pp. 21-26, Feb. 2004
10.3745/KIPSTB.2004.11.1.21,   PDF Download:

Abstract

Color image quantization is a process of selecting a set of colors to display an image with some representative color without noticeable perceived difference. It is very important in many applications to display a true color image in a low cost color monitor or printer. The basic problem is how to display 256 colors or less colors, called color palette. In this paper, we propose improved binary tree vector quantization based according to changes of three primary color in blocks of images with the process of splutting nodes using eigenvector in binary tree vector quantization. The test results show that the proposed method generates the quantized images with fine color and performs better than the conventional method in terms of clustering the similar regions. Also the proposed method and get the better result in subjective quality test and WSNR.


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Cite this article
[IEEE Style]
Y. S. Pil, G. N. Jeong, A. J. Hyeong, "The Improved Binary Tree Vector Quantization Using Spatial Sensitivity of HVS," The KIPS Transactions:PartB , vol. 11, no. 1, pp. 21-26, 2004. DOI: 10.3745/KIPSTB.2004.11.1.21.

[ACM Style]
Yu Seong Pil, Gwag Nae Jeong, and An Jae Hyeong. 2004. The Improved Binary Tree Vector Quantization Using Spatial Sensitivity of HVS. The KIPS Transactions:PartB , 11, 1, (2004), 21-26. DOI: 10.3745/KIPSTB.2004.11.1.21.