Title :
A New Method of Image Denoise Using Contourlet Transform
Author :
Xingmei, Li ; Guoping, Yan ; Liang, Chen
Author_Institution :
Dept. of Electron. & Inf., Huazhong Univ. of Sci. & Technol., Wuhan, China
Abstract :
In all methods of image denoising, there is a problem always exists that is how to distinguish noise and edge. Now wavelet and contourlet are main tools in image denoising, but threshold is the key in wavelet and contourlet denoising. In order to distinguish noise and edge well, most methods in wavelet denoising are about the improvement of threshold. Aiming to resolve this problem, a new method which makes full use of the model of anisotropic receptive fields and nonsubsampled contourlet transform is proposed and it can distinguish the noise and edge effectively without the need to choose a suitable threshold.
Keywords :
edge detection; image denoising; image segmentation; wavelet transforms; anisotropic receptive field; edge detection; image denoise; image threshold; nonsubsampled contourlet transform; wavelet denoising; Anisotropic magnetoresistance; Costs; Electronic mail; Filter bank; Frequency; Image denoising; Laplace equations; Noise reduction; Wiener filter; nonsubsampled contourlet; the model of anisotropic receptive fields; threshold;
Conference_Titel :
Environmental Science and Information Application Technology, 2009. ESIAT 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3682-8
DOI :
10.1109/ESIAT.2009.141
