Journal Press India^®

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For image denoising, Block thresholding is considered to be a better strategy than the term-by-term thresholding. There are number of Wavelet based thresholding techniques for image denoising such as VisuShrink, BayesShrink, SureShrink, NeighShrink, BiShrink, ProbShrink, Sure-LET and BlockShrink. Selesnick has extended the BiShrink method to DT-CWT and he has shown that the DT-CWT achieves better results than DWT for image denoising. Dengwen and Xiaoliu have shown that BlockShrink enjoys a number of advantages over the other conventional image denoising methods. Their experimental results show that BlockShrink outperforms significantly classic SureShrink method and NeighShrink method. In this paper we extend BlockShrink approach to DT-CWT and compare it with the BiShrink approach proposed by Selesnick. We have analysed these methods of noise removal from degraded images with Gaussian noise and compared the results in term of PSNR.

Keywords

DT-CWT; Wavelet Thresholding; BiShrink; BlockShrink; PSNR

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