Improved WGMAP image restoration

Yan-fei Gao; Yi-he Zhao; Bing-hua Su

doi:10.1117/12.835712

29 August 2009 Improved WGMAP image restoration

Yan-fei Gao, Yi-he Zhao, Bing-hua Su

Proceedings Volume 7382, International Symposium on Photoelectronic Detection and Imaging 2009: Laser Sensing and Imaging; 738258 (2009) https://doi.org/10.1117/12.835712
Event: International Symposium on Photoelectronic Detection and Imaging 2009, 2009, Beijing, China

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.

Citation Download Citation

Yan-fei Gao, Yi-he Zhao, and Bing-hua Su "Improved WGMAP image restoration", Proc. SPIE 7382, International Symposium on Photoelectronic Detection and Imaging 2009: Laser Sensing and Imaging, 738258 (29 August 2009); https://doi.org/10.1117/12.835712

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