Title :
Image denoising study on Nonlocal-Means Filter
Author :
Deng Shi-wo ; Jin Ling-yu ; Xu Xiong-qiang ; Ma Wei-bin
Author_Institution :
Dept. of Math., South China Agric. Univ., Guangzhou, China
Abstract :
In this paper, we present a new model-Nonlocal PM Model after combining the Nonlocal Means (NLM) filter and the PM-equation model. The decay parameter h acts as a filtering parameter and the standard deviation a of Gaussian kernel Ga(·); both are very important parameters in the Nonlocal Means Filter, and the gradient modulus threshold k that controls the conduction are obtained by setting the maximum of the peak signal-to-noise ratio (PSNR in db) as the goal in the numerical experiment of the Nonlocal PM Model. The experimental results show the new method has better performance in image denoising.
Keywords :
Gaussian noise; filtering theory; gradient methods; image denoising; statistical analysis; Gaussian kernel; PM equation model; PSNR; decay parameter; filtering parameter; gradient modulus threshold; image denoising; nonlocal PM model; nonlocal-means filter; peak signal-to-noise ratio; standard deviation; Equations; Mathematical model; Numerical models; PSNR; Wiener filters; Gaussian noise distribution; Nonlocal Means Filter; Nonlocal PM model; P-M equation;
Conference_Titel :
Image Analysis and Signal Processing (IASP), 2012 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-2547-9
DOI :
10.1109/IASP.2012.6424997