Share Email Print
cover

Proceedings Paper

Application of infrared image noise reduction by processing of wavelet transform threshold
Author(s): Ming Liang; Feiyu Zhao; Qinshen Li
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

In this paper, the application of wavelet transform for infrared image noise reduction is studied. Via threshold operation in wavelet domain of infrared image, it can reduce noise effectively without considerable loss of edge details. The discuss of this wavelet threshold segmentation algorithms is presented in this paper, and the methods of wavelet and threshold selection are also given. It has been proven that the wavelet threshold technology is an effective method for infrared image noise reduction.

Paper Details

Date Published: 10 January 2005
PDF: 4 pages
Proc. SPIE 5640, Infrared Components and Their Applications, (10 January 2005); doi: 10.1117/12.580778
Show Author Affiliations
Ming Liang, Guangzhou SAT Infrared Technology Co. Ltd. (China)
Feiyu Zhao, Guangzhou SAT Infrared Technology Co. Ltd. (China)
Qinshen Li, Guangzhou SAT Infrared Technology Co. Ltd. (China)


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

© SPIE. Terms of Use
Back to Top