DocumentCode :
170461
Title :
A new gradient-based nonlinear diffusion method applied to image denoising
Author :
Xiaobo Zhang ; Xiangchu Feng
Author_Institution :
Inst. of Graphics & Image Process., Xianyang Normal Univ., Xianyang, China
fYear :
2014
fDate :
16-18 May 2014
Firstpage :
312
Lastpage :
315
Abstract :
This paper presents a new nonlinear diffusion method to address the problem of noise removal. In the method, the diffusion function is based on gradient detection. The local window in the square gradient domain is used to extract the gradient information accurately. The tests demonstrate the proposed method gets the best results both subjectively and objectively compared to the related gradient domain algorithms.
Keywords :
gradient methods; image denoising; gradient detection; gradient domain algorithms; gradient information extraction; gradient-based nonlinear diffusion method; image denoising; local window; noise removal; square gradient domain; Image denoising; Image edge detection; Manganese; Noise measurement; Noise reduction; PSNR; diffusion function; image denoising; local window;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Progress in Informatics and Computing (PIC), 2014 International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4799-2033-4
Type :
conf
DOI :
10.1109/PIC.2014.6972348
Filename :
6972348
Link To Document :
بازگشت