Title :
MRF image denoising based on fuzzy classification
Author :
Xingshi, He ; Lianying, Geng ; Fei-yue, He ; Min, Wu
Author_Institution :
Sch. of Sci., Xi´´an Polytech. Univ., Xi´´an, China
Abstract :
The methods of smooth region and edge region is identity using Markov random fields (MRF), which leads to a lot of redundant operate and too long running time. This paper presents MRF image denoising method based on fuzzy classification, firstly,image subblock can be fuzzy classified according to its different statistical characteristics, then the image can be restored by models with different prior energy function. Finally, the blurred natural image is restored by this method and the experiment results show that the method is valid.
Keywords :
Markov processes; fuzzy set theory; image classification; image denoising; image restoration; MRF image denoising method; Markov random fields; blurred natural image restoration; edge region; energy function; fuzzy classification; smooth region; statistical characteristics; Computational modeling; Histograms; PSNR; MRF; fuzzy classification; image denoising;
Conference_Titel :
Cross Strait Quad-Regional Radio Science and Wireless Technology Conference (CSQRWC), 2011
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-9792-8
DOI :
10.1109/CSQRWC.2011.6037237
