Journal Press India^®

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This paper proposes a comparative study of image denoising method using BlockShrink algorithm between the Wavelet transform (DWT) and the Slantlet transform (SLT). Slantlet transform, which is also a wavelet-like transform and a better candidate for signal compression compared to the DWT based scheme and which can provide better time localization. BlockShrink is found to be a better method than other conventional image denoising methods. Through experimental results, it is found that DWT based BlockShrink thresholding is better option than BiShrink thresholding in terms of PSNR for the Gaussian noise. The PSNR for the SLT based BlockShrink, though found to be less than DWT based method, is better option as it provides better time localization and better signal compression compared to the classical DWT.

Keywords

BlockShrink; BiShrink; DWT; SLT; PSNR

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