A new image denoising method based on Gaussian filter
Manyu Wang, Sheng Zheng, Xiaolong Li, Xiongjie Qin · 2014
In this paper, we propose a new image denoising method based on Gaussian filter and Non-local means filter. The new algorithm dealing with the image noise learns from the weighted average thoughts of particle filter. we analyse the difference between the proposed method and other two algorithms, then we do multi-group experiments to compare the denoising effect of these methods, and evaluate their performance mainly through visual effect and peak signal-to-noise ratio (PSNR). The experimental results show that the proposed new method is effective in image denoising.