Multiscale Image Denoising Algorithm Based on Image Fusion

摘要

A novel multiscale image denoising method based on image fusion is proposed, which combines high denoising ability of intrascale statistical dependency models with better performance of edge preservation of interscale ones. And we introduce a novel image assessment measure based on structural similarity (SSIM) index to evaluate the equality of original denoised images and fusion image compared to noise-free image. Simulation results show that the proposed method has better visual effect and higher denoising quality than the previous methods.