The de-noising is a challenging task in the field of signal and image processing. De-noising of the natural image corrupted by Gaussian noise using wavelet techniques are very effective because of its ability to capture the energy of a signal in few energy transform values. The wavelet denoising scheme thresholds the wavelet coefficients arising from the standard discrete wavelet transform. In this paper, we analyzed several methods of noise removal from degraded images with Gaussian noise by using adaptive wavelet threshold (Bayes Shrink, Normal Shrink and Neigh Shrink) and compare the results in term of PSNR.

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Image De-noising Wavelet Thresholding Bayes Shrink Normal Shrink Neigh Shrink