Improved image denoising method based on Curvelet transform

Author

Jiang Tao ; Zhao Xin ; Ding Wenwen ; Chen Junqing

Author_Institution

Dept. of Remote Sensing Sci. & Technol., Shandong Univ. of Sci. & Technol., Qingdao, China

fYear

2010

fDate

20-23 June 2010

Firstpage

1086

Lastpage

1090

Abstract

An improved image denoising method based on Curvelet transform is proposed in this article. Considering characteristic of Wavelet transform and traditional Curvelet transform, this method divides image up via window neighbourhood processing. It fuses two denoising images based Wavelet and Curvelet transform according to segmentation information and obtains higher quality and better effect image. Experiments show that with noise variance, the method in this paper can not only obtain higher PSNR but also keep more edge details. And it reduces “nick” and “ring” of restoration images.

Keywords

curvelet transforms; image denoising; image segmentation; wavelet transforms; curvelet transform; image denoising method; segmentation information; wavelet transform; window neighbourhood processing; Discrete wavelet transforms; Educational institutions; Image denoising; Image segmentation; Noise reduction; PSNR; Remote sensing; Wavelet analysis; Wavelet domain; Wavelet transforms; Curvelet transform; Denoising; Wavelet transform; image segmentation;

fLanguage

English

Publisher

ieee

Conference_Titel

Information and Automation (ICIA), 2010 IEEE International Conference on

Conference_Location

Harbin

Print_ISBN

978-1-4244-5701-4

Type

conf

DOI

10.1109/ICINFA.2010.5512164

Filename

5512164