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