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Proceedings Paper

Application of contourlet transform in infrared image denoising
Author(s): Yuchi Lin; Xin Zhou; Le Song; Yinguo Huang
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Paper Abstract

Wavelet threshold denoising is widely used in the denoising of the infrared image for its simplicity and effectiveness in application. However, there has been a growing awareness to the observation that wavelets may not be the best choice for describing infrared images. This observation is due to the fact that wavelets are blind to the smoothness along the edges commonly found in images. A denoising method of infrared image based on Contourlet transform is presented in this paper. In selecting the hard threshold function to process the coefficients in the Contourlet domain, we could thereby obtain the denoised infrared image of superior quality via inverse transforming. The result of the experiment indicates that compared with the traditional algorithms of the wavelet, this method can preserve the detail and the texture of the infrared image more effectively, and has better image effect and the SNR value.

Paper Details

Date Published: 8 January 2008
PDF: 6 pages
Proc. SPIE 6835, Infrared Materials, Devices, and Applications, 68351A (8 January 2008); doi: 10.1117/12.754115
Show Author Affiliations
Yuchi Lin, Tianjin Univ. (China)
Xin Zhou, Tianjin Univ. (China)
Le Song, Tianjin Univ. (China)
Yinguo Huang, Tianjin Univ. (China)


Published in SPIE Proceedings Vol. 6835:
Infrared Materials, Devices, and Applications
Yi Cai; Haimei Gong; Jean-Pierre Chatard, Editor(s)

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