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
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;
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
DOI :
10.1109/ICCIS.2010.151