Model based on the integro-differential equation for multiplicative noise removal
Jian Yu Bai, Xiangchu Feng · Journal of Xidian University · 2013
Multiplicative noise removal is an important research topic on image processing.This paper presents a novel integro-differential equation approach for removing multiplicative noise.Under the assumption that multiplicative noise follows a Gamma distribution,we firstly discuss the classical AA model,and then in order to arrive at the novel integro-differential equation,integrate in inverse scale space a succession of refined 'slices' of the image.The novel integro-differential equation includes a monotone increasing scaling function.By choosing an adaptive scaling function,this equation can remove multiplicative noise efficiently.Finally,the experimental results demonstrate the better performance of the proposed model.