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Proceedings Paper

Image denoising using Bayesian shrink threshold based on weighted adaptive directional lifting wavelet transform
Author(s): Quan Liu; Lin Ni
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Paper Abstract

This paper introduces an image denoising method based on weighted adaptive directional lifting wavelet transform(WADL). Using this method can restrain noise from image signal and protect the texture edge simultaneity. We partition the noisy image into texture area and smooth area, following using WADL to decompose the texture area and conventional lifting wavelet to decompose the smooth area. Bayesian Shrink Threshold is used to process the wavelet coefficient. Experiment results show a good efficient.

Paper Details

Date Published: 1 October 2011
PDF: 6 pages
Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 828570 (1 October 2011); doi: 10.1117/12.913508
Show Author Affiliations
Quan Liu, Univ. of Science and Technology of China (China)
Lin Ni, Univ. of Science and Technology of China (China)


Published in SPIE Proceedings Vol. 8285:
International Conference on Graphic and Image Processing (ICGIP 2011)
Yi Xie; Yanjun Zheng, Editor(s)

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