DocumentCode
2458306
Title
An Improved Filtering Algorithm Based on Gray Correlation Degree
Author
Zhu, Zhu ; Wang, Qing
Author_Institution
Sch. of Instrum. Sci. & Eng., Southeast Univ., Nanjing, China
fYear
2010
fDate
17-19 Dec. 2010
Firstpage
598
Lastpage
600
Abstract
Filtering is an essential step to image processing, at present, a lot of filtering algorithm will damage the detail information of an image when they were used to remove noise that distribute over the image, in such circumstances, attaining an ideal effect is very difficult. The improved filtering algorithm based on gray correlation degree makes use of gray correlation analysis to find out random noise and give to accurate gray value. Because of this we resolve the above-mentioned problem effectively. At last the experimental results validate the above conclusions.
Keywords
filtering theory; image denoising; statistical analysis; gray correlation analysis; gray correlation degree; image processing; improved filtering algorithm; Algorithm design and analysis; Correlation; Filtering; Filtering algorithms; PSNR; Pixel; filtering; gray correlation degree; noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational and Information Sciences (ICCIS), 2010 International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-8814-8
Electronic_ISBN
978-0-7695-4270-6
Type
conf
DOI
10.1109/ICCIS.2010.151
Filename
5709072
Link To Document