Performance Analysis of InterpolatedShrink method in Image De-Noising

The denoising of an image corrupted by Gaussian no ise is a classical problem in signal or image processing. An image is often corrupted by noise during its acquisition and transmission. Image denoising is used to reduce th e noise while retaining the important features in the image. Always there exists a tradeoff between the removed noise and the blurring in the image. The use of wavelet transform for signal denoising has emerged as an important technique du ring the last decade. The wavelet transform is preferred over conventional Fast Fourier Transform(FFT) based image de noising technique ,because of its capability to give detailed spatialfrequency information. In this paper, we tr ied to analyze the performance of InterpolatedShrink method in image denoising using various wavelet family, such as Haar,Doubechies,Symlet and Coiflets, for Gaussian noise.