Title :
A new image denoising method based on Gaussian filter
Author :
Manyu Wang ; Sheng Zheng ; Xiaolong Li ; Xiongjie Qin
Author_Institution :
Coll. of Comput. & Inf. Technol., China Three Gorges Univ., Yichang, China
Abstract :
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.
Keywords :
Gaussian processes; image denoising; particle filtering (numerical methods); Gaussian filter; PSNR; image denoising method; nonlocal means filter; particle filter; peak signal-to-noise ratio; visual effect; Image denoising; PSNR; denoising effect; visual effect;
Conference_Titel :
Information Science, Electronics and Electrical Engineering (ISEEE), 2014 International Conference on
Conference_Location :
Sapporo
Print_ISBN :
978-1-4799-3196-5
DOI :
10.1109/InfoSEEE.2014.6948089