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Proceedings Paper

Infrared image vector quantization encoding based on wavelet transform
Author(s): Li-ping Wang; Qian Chen; Guohua Gu; Yi Zhang
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Paper Abstract

The solving question of image compressing is how to reduce the image data to a minimum. The rebuilt image using the data is satisfying. The characteristics of the infrared image are analyzed. After the analysis of infrared image wavelet coefficients, a vector quantization algorithm based on wavelet transform and the advanced one are proposed. The two algorithms are both realized by programming, and the results of the experiments are analyzed and compared, which shows that the proposed algorithms for infrared image compression can be feasible.

Paper Details

Date Published: 10 January 2005
PDF: 8 pages
Proc. SPIE 5640, Infrared Components and Their Applications, (10 January 2005); doi: 10.1117/12.575516
Show Author Affiliations
Li-ping Wang, Nanjing Univ. of Science and Technology (China)
Qian Chen, Nanjing Univ. of Science and Technology (China)
Guohua Gu, Nanjing Univ. of Science and Technology (China)
Yi Zhang, Nanjing Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 5640:
Infrared Components and Their Applications
Haimei Gong; Yi Cai; Jean-Pierre Chatard, Editor(s)

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