DocumentCode
145108
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
Volume
1
fYear
2014
fDate
26-28 April 2014
Firstpage
163
Lastpage
167
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science, Electronics and Electrical Engineering (ISEEE), 2014 International Conference on
Conference_Location
Sapporo
Print_ISBN
978-1-4799-3196-5
Type
conf
DOI
10.1109/InfoSEEE.2014.6948089
Filename
6948089
Link To Document