Main Article Content
Abstract
Image denoising is the basic problem of signal recovery in Image process and is required to reduce or eliminate the noise of the observed images. The image will be contaminated by random noise in the process of collection and transmission, which would inevitably lead to the degradation of the image quality in the subsequent process such as image compression and feature extraction. Hence, it is important to estimate the original image from the noisy image. Most of the existing techniques use hard and soft thresholding functions for denoising the image in which the large value of threshold results in too many zero coefficients. So the useful information is removed along with the noisy data. In proposed method using below threshold value will be processed, So the useful information of the image is does not affected. The performance is evaluated and the results are compared. The results in the proposed method enhance the peak signal to noise ratio and preserves the details of an image.