Image Denoising Based On Adaptive Wavelet Multiscale Thresholding Method

This paper introduces a new technique called adaptive wavelet thresholding and wavelet packet transform to denoised the image based on generalized Gaussian distribution.It chooses an adaptive threshold value which is level and subband dependent based on analyzing the subband coefficients.Experimental results, on different test images under different noise intensity conditions, shows proposed algorithm, called OLI-Shrink, yields better peak signal noise ratio with superior visual image quality measured by universal image quality index compared to standard denoising methods. It also performs some of wavelet-based denoising techniques.wavelet transform enable us to represent image with high degree of scarcity.wavelet transform based denoising technique are of greater interest because of their fourier and other spatial domain methods.