Block Based SVD approach for Additive White Gaussian Noise level Estimation in Satellite Images

Abstract

Abstract-In this digital era, estimation of noise and de-noise of digital image is one of the charttopping fields. In real time, noise may happen at any stage starts from capturing to reception. Noise estimation is ever challenging field even till now. Additive White Gaussian Noise is the basic type when dealing with images on statically way of studying. So, In this paper, as a first step we proposed an effective technique for the estimation of noise in a satellite image by using Block based SVD approach. This paper addresses the following steps 1.Noise estimation by trail method of singular values 2) Corrupting the image by known noise and study the change 3) Divide the whole image into blocks and add the known noise to the image and finally retrieve the effect on original image. It is one of best techniques for estimating AWGN in a real-time.