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Proceedings Paper

Improved WGMAP image restoration
Author(s): Yan-fei Gao; Yi-he Zhao; Bing-hua Su
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Paper Abstract

Considering that the high-frequency sub-band can gather most energy of noise by the wavelet decomposition, and the local variances in edge and noise change inconsistently, the real edges of images are separated from the noise by choosing an appropriate threshold value in each high-frequency sub-bands of wavelet domain, while the WGMAP method is used to restore the images. Experimental results show that the images reconstructed by the improved algorithm reproduce preferably the edge structures of original images; and the signal to noise ratio and the visual effect are significantly improved.

Paper Details

Date Published: 29 August 2009
PDF: 6 pages
Proc. SPIE 7382, International Symposium on Photoelectronic Detection and Imaging 2009: Laser Sensing and Imaging, 738258 (29 August 2009); doi: 10.1117/12.835712
Show Author Affiliations
Yan-fei Gao, Beijing Univ. of Civil Engineering and Architecture (China)
Yi-he Zhao, Beijing Institute of Technology (China)
Bing-hua Su, Beijing Institute of Technology (China)


Published in SPIE Proceedings Vol. 7382:
International Symposium on Photoelectronic Detection and Imaging 2009: Laser Sensing and Imaging

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