New Image Denoising Method Based Wavelet and Curvelet Transform

摘要：

Wavelet multi-resolution analysis is widely used and achieves good results in image denoising fields. Wavelet transform has unique advantages in dealing with singular point, but has some disadvantages in dealing with the borders and the line features of the image. But curvelet transform has the finest approximation of the singular curve in the image. In this paper, we combine the wavelet transform and curvelet transform to deal with the noisy image. The results show that the proposed method is better than only using wavelet transform or curvelet transform to deal with noisy image, that is to say this method can get better visual effects and higher PSNR.

关键词： wavelet transform fast discrete cuevelet transform (FDCT) threshold image denosing PSNR

作者: Hong-qiao Li Sheng-qian Wang Cheng-zhi Deng

作者单位: Key Laboratory of Photoelectron & Communication, Jiangxi Science & Technology Normal University, Nan Key Laboratory of Photoelectron & Communication, Jiangxi Science & Technology Normal University, Nan Nanchang Institute of Technology, Nanchang, China, 330099

会议类型: 国际会议

会议名称: 2009 WASE International Conference on Information Engineering(2009年国际信息工程会议)(ICIE 2009)

会议地点: 太原

会议语种:英文

页码: 136-139

在线出版日期: 2009-07-10（万方平台首次上网日期，不代表论文的发表时间）