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Proceedings Paper

Construction of compactly supported biorthogonal wavelet based on Human Visual System
Author(s): Haiping Hu; Weidong Hou; Hong Liu; Yu Long Mo
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Paper Abstract

As an important analysis tool, wavelet transform has made a great development in image compression coding, since Daubechies constructed a kind of compact support orthogonal wavelet and Mallat presented a fast pyramid algorithm for wavelet decomposition and reconstruction. In order to raise the compression ratio and improve the visual quality of reconstruction, it becomes very important to find a wavelet basis that fits the human visual system (HVS). Marr wavelet, as it is known, is a kind of wavelet, so it is not suitable for implementation of image compression coding. In this paper, a new method is provided to construct a kind of compactly supported biorthogonal wavelet based on human visual system, we employ the genetic algorithm to construct compactly supported biorthogonal wavelet that can approximate the modulation transform function for HVS. The novel constructed wavelet is applied to image compression coding in our experiments. The experimental results indicate that the visual quality of reconstruction with the new kind of wavelet is equivalent to other compactly biorthogonal wavelets in the condition of the same bit rate. It has good performance of reconstruction, especially used in texture image compression coding.

Paper Details

Date Published: 17 November 2000
PDF: 8 pages
Proc. SPIE 4122, Mathematics and Applications of Data/Image Coding, Compression, and Encryption III, (17 November 2000); doi: 10.1117/12.409248
Show Author Affiliations
Haiping Hu, Shanghai Univ. (China)
Weidong Hou, Shanghai Univ. (China)
Hong Liu, Shanghai Univ. (China)
Yu Long Mo, Shanghai Univ. (China)


Published in SPIE Proceedings Vol. 4122:
Mathematics and Applications of Data/Image Coding, Compression, and Encryption III
Mark S. Schmalz, Editor(s)

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