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Article type: Research Article
Authors: Chan, Yung-Kuan | Wang, Her-Fa | Lee, Chin-Fan
Affiliations: Department of Management Information Systems, National Chung Hsing University, No. 250, Kuokuang Rd., Taichung 402, Taiwan, R.O.C. | Department of Information Management, Chaoyang University of Technology, 168 Gifeng E. Rd., Wufeng, Taichung County, Taiwan, R.O.C.
Abstract: This paper presents a refined VQ-based image compression method which modifies the traditional VQ-based image compression method. The refined VQ-based image compression method further lossless encodes the compression data which is generated by the traditional VQ-based image compression method into a set of compression codes. The index image generated by the refined method is a contracted image of the compressed image, which can be used as the preview of the compressed image on image management. Although the PSNRs of the reconstructed images that are decoded by the refined VQ-based image compression method and the traditional VQ-based image compression method are the same, the refined VQ-based image compression method provides a better storage efficiency.
Keywords: VQ-based compression method, LBG algorithm, K-means clustering, JPEG compression method, JBIG compression method
Journal: Fundamenta Informaticae, vol. 61, no. 3-4, pp. 213-221, 2004
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