Block based SVD approach for Additive White Gaussian Noise level estimation in satellite images

摘要

In this digital era, estimation of noise and de-noising of digital image is one of the chart-topping fields. In real time, noise may happen at any stage starting 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 statistical way of studying. So, this paper as a first step proposed an effective technique for the estimation of noise in an image by using Block based SVD domain approach. This paper addresses the following issues (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.