Improved Image Denoising Method based on Curvelet Transform

摘要：

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.

关键词： Wavelet transform Curvelet transform image segmentation Denoising

作者: JIANG Tao ZHAO Xin DING WenWen CHEN JunQing

作者单位: Department of Remote Sensing Science and Technology,Geomatics College Shandong University of Science Taishan College of Science and Technology Shandong University of Science and Technology Taian,Shando Center of Modern Education Shandong University of Science and Technology Department of Remote Sensing Science and Technology,Geomatics College Shandong University of Science

会议类型: 国际会议

会议名称: 2010 IEEE信息与自动化国际会议(ICIA 2010)

会议地点: 哈尔滨

会议语种:英文

页码: 1-5

在线出版日期: 2010-06-20（万方平台首次上网日期，不代表论文的发表时间）