Optimal Template for Image Smooth Denoising
Yin Zhong-ke · 2004
A more common formula of templates used in image smooth denoising is developed from Gauss function in order to offer more templates to be chosen when denoising images with random noise. For each image with different levels of noise, only one template corresponding to the level of this image noise is optimal when denoising this image. At the end of this paper, some experimental results are also presented and they validate the above formula and conclusions.