Infrared image vector quantization encoding based on wavelet transform

Li-ping Wang; Qian Chen; Guohua Gu; Yi Zhang

doi:10.1117/12.575516

10 January 2005 Infrared image vector quantization encoding based on wavelet transform

Li-ping Wang, Qian Chen, Guohua Gu, Yi Zhang

Proceedings Volume 5640, Infrared Components and Their Applications; (2005) https://doi.org/10.1117/12.575516
Event: Photonics Asia, 2004, Beijing, China

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.

Citation Download Citation

Li-ping Wang, Qian Chen, Guohua Gu, and Yi Zhang "Infrared image vector quantization encoding based on wavelet transform", Proc. SPIE 5640, Infrared Components and Their Applications, (10 January 2005); https://doi.org/10.1117/12.575516

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