A new method for noise estimation in images
Radu Ciprian Bilcu, Markku Vehviläinen · 2005
Summary form only given. In this paper, we propose a simple and fast algorithm for additive noise estimation. In our approach, the input image is assumed to be corrupted by white additive Gaussian distributed noise. To estimate the noise variance, a three step method is proposed that posses good performances at a low computational cost. Simulations results that show the performance of the proposed implementation in comparison to other approaches are also presented in this paper.