A Weighted Error Compensation Algorithm for Image Denoising Based on Noise Variance Estimation

Partial differential equations models work well on many complex image processing problems. However, amounts of iterations and considerable computation are often required to solve these models. This paper presents a new algorithm for image denoising based on noise variance estimation and inhomogeneous linear diffusion equation. The traditional results can be improved to a certain extent without acute increased computation. Several numerical experiments are implemented at last and the accuracy and efficiency of proposed algorithm are verified.