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

Volume

2

fYear

2009

fDate

4-5 July 2009

Firstpage

390

Lastpage

393

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Environmental Science and Information Application Technology, 2009. ESIAT 2009. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-0-7695-3682-8

Type

conf

DOI

10.1109/ESIAT.2009.141

Filename

5199915