Colour image denoising based on a combined model
Dang N. H. Thanh, Dinh Viet Sang, Dvoenko Sergey · 2016
In this paper, we propose a method to remove noise in RGB-color images. This method is based on a total variation of intensity function of images. Here, the proposed method is a developed version of our previous method to remove a linear combination of Gaussian and Poisson noises in grayscale images. This method works well with the wide range of proportion of Poisson and Gaussian noises. We show here, the developed version can be used to well approximate real noises in color raster images.