Image De-Noise Based on Wavelet Threshold Shrinkage

doi:10.3969/j.issn.1007-2985.2012.02.018

Abstract

Abstract: The image denoising experiment,using biorthogonal wavelet and applying VisuShrink thresholds and BayesShrink thresholds,is conducted to images mixed with Gaussian white noise through the hard threshold function and the soft threshold function respectively.The results show that denoising effect of the hard VisuShrink threshold is better than that of soft VisuShrink threshold;the denoising effect of the soft BayesShrink threshold is better than that of hard BayesShrink;and BayesShrink can have a better denoising effect only in the soft threshold function.

Key words: wavelet transform, image de-noise, threshold, threshold function

SONG Zhi-Guo, ZHANG Yin-Xing, DENG Xiao-Fei. Image De-Noise Based on Wavelet Threshold Shrinkage[J]. journal6, 2012, 33(2): 78-79.

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Image De-Noise Based on Wavelet Threshold Shrinkage

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