Title :
A model of image denoising based on partial differential equations
Author :
Liu, Jing ; Gao, Fei ; Li, Zuozhou
Author_Institution :
Dept. of Math., Dalian Maritime Univ., Dalian, China
Abstract :
Based on the isotropic diffusion denoising model and the total variation (TV) denoising model, an image denoising model, which is constructed by the partial differential equations assigned a weight function is proposed. This model can improve "staircase effect" and "block effect" compared to the isotropic diffusion denoising model and the total variation (TV) denoising model, respectively. Numerical experiments show that the model is able to remove noise effectively while preserving texture features and edge information well, so that the quality of the denoised image is enhanced.
Keywords :
edge detection; feature extraction; image denoising; image texture; partial differential equations; block effect; edge information; image denoising model; image quality; isotropic diffusion denoising model; partial differential equations; staircase effect; texture feature; total variation denoising model; Image denoising; Mathematical model; Noise reduction; Numerical models; PSNR; TV; image denoising; partial differential denoising model; variational method; weight function;
Conference_Titel :
Multimedia Technology (ICMT), 2011 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-61284-771-9
DOI :
10.1109/ICMT.2011.6002346