Application of infrared image noise reduction by processing of wavelet transform threshold

Ming Liang; Feiyu Zhao; Qinshen Li

doi:10.1117/12.580778

10 January 2005 Application of infrared image noise reduction by processing of wavelet transform threshold

Ming Liang, Feiyu Zhao, Qinshen Li

Proceedings Volume 5640, Infrared Components and Their Applications; (2005) https://doi.org/10.1117/12.580778
Event: Photonics Asia, 2004, Beijing, China

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.

Citation Download Citation

Ming Liang, Feiyu Zhao, and Qinshen Li "Application of infrared image noise reduction by processing of wavelet transform threshold", Proc. SPIE 5640, Infrared Components and Their Applications, (10 January 2005); https://doi.org/10.1117/12.580778

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