Thermal image compression system based on wavelet transform

Yan Ding*, Liudi Liu, Yanli Zhong, Weiqi Jin

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

Abstract

Wavelet transform is a new branch of mathematics, which is developing rapidly in recent years. Because it gets rid of some defects of Fourier transform. Wavelet analysis method has been paid more and more attention and widely used in various fields of engineering application, especially in image processing. In this paper, after the wavelet pyramidal decomposition of the image, the different quantization and coding schemes for each subimage are then carried out in accordance with its statistical properties and distributed properties of the coefficients. The computer simulation result shows that this compression system can attain good reconstructed image while assuring satisfying compression ratio.

Original languageEnglish
Pages (from-to)226-231
Number of pages6
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume3561
Publication statusPublished - 1998
EventProceedings of the 1998 Conference on Electronic Imaging and Multimedia Systems II - Beijing, China
Duration: 18 Sept 199819 Sept 1998

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