Image denoising using improved adaptive proportion-shrinking algorithm based on second generation bandelets

Biao Hou; Haigang Li; Licheng Jiao; Hongxiao Feng

doi:10.1117/12.750038

15 November 2007 Image denoising using improved adaptive proportion-shrinking algorithm based on second generation bandelets

Biao Hou, Haigang Li, Licheng Jiao, Hongxiao Feng

Author Affiliations +

Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 67863E (2007) https://doi.org/10.1117/12.750038
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

As one important multiresoltion geometry analysis tool, second generation bandelets can make full use of intrinsic geometry regularity of images, and then produces a sparse representation. This paper proposes a new denoising method, which is based on second generation bandelets and improved adaptive proportion-shrinking algorithm. Experiments on natural images with additive Gaussian white noise show that our method not only has the high peak signal to noise ratio(PSNR) value, but also has finer impression in vision, especially, has better performance on preservation of edges information and textures information than the classical proportion-shriking algorithm.

Citation Download Citation

Biao Hou, Haigang Li, Licheng Jiao, and Hongxiao Feng "Image denoising using improved adaptive proportion-shrinking algorithm based on second generation bandelets", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67863E (15 November 2007); https://doi.org/10.1117/12.750038

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