Region-based Image Denoising Through Wavelet and Fast Discrete Curvelet Transform

摘要：

Image denoising always is one of important research topics in the image processing field. In this paper, fast discrete curvelet transform (FDCT) and undecimated wavelet transform (UDWT) are proposed for image denoising. A noisy image is first denoised by FDCT and UDWT separately. The whole image space is then divided into edge region and non-edge regions. After that, wavelet transform is performed on the images denoised by FDCT and UDWT respectively. Finally, the resultant image is fused through using both of edge region wavelet cofficients of the image denoised by FDCT and non-edge region wavelet cofficients of the image denoised by UDWT. The proposed method is validated through numerical experiments conducted on standard test images. The experimental results show that the proposed algorithm outperforms wavelet-based and curvelet-based image denoising methods and preserve linear features well.

关键词： fast discrete curvelet transform undecimated wavelet transform region-based method image denoising image fusion

作者: Yanfeng Gu Yan Guo Xing Liu Ye Zhang

作者单位: Department of Information Engineering, Harbin Institute of Technology,No.92, West Da-Zhi Street, 150 Department of Information Engineering, Harbin Institute of Technology, No.92, West Da-Zhi Street, 15

会议类型: 国际会议

会议名称: 第五届仪器科学与技术国际学术会议(ISIST 2008)Fifth International Symposium on Instrmentation Science and Technology

会议地点: 沈阳

会议语种:英文

页码: 1-6

在线出版日期: 2008-09-15（万方平台首次上网日期，不代表论文的发表时间）