Title :
A Fuzzy Filter for Color Images Corrupted by Mixed Noise
Author :
Xuan Guo ; Baoping Guo
Author_Institution :
Key Lab. of Optoelectron. Devices & Syst. of Minist. of Educ. & Guangdong Province, Coll. of Optoelectron. Eng. Shenzhen Univ. Shenzhen, Shenzhen, China
Abstract :
In this paper, a new approach to the problem of mixed noise reduction in color image is presented. The main idea of filtering method is that the fuzzy switching filter to remove impulsive noise and then the improved bilateral filtering attenuate Gaussian noise. The algorithm copes well with different levels of mixed noise. The results show that the proposed filter is more efficient than other approaches.
Keywords :
Gaussian noise; fuzzy set theory; image colour analysis; image denoising; image filtering; Gaussian noise; fuzzy switching filter; improved bilateral filtering method; impulsive noise removal; mixed noise corrupted color images; mixed noise reduction; Color; Colored noise; Filtering; Image color analysis; Noise measurement; Vectors; color image processing; mixture noise; adaptive;
Conference_Titel :
Identification, Information and Knowledge in the Internet of Things (IIKI), 2014 International Conference on
DOI :
10.1109/IIKI.2014.44
