Curvelet and Wavelet Transform Coupling for Denoising Images with White Noise

摘要：

In this paper, the coupling method of time invariant wavelet and curvelet transforms was used for denoising of images with white noise. In the coupling method, the discrete curvelet transform is performed in three steps: splitting, tiling and ridgelet transforming. The ridgelet transform is designed to code linear singularities. It can not handle curved edges. The problem with hard thresholding is that by thresholding to zero all curvelet coefficients lower than given threshold causes wrinkles near discontinuities. This method does not zero out all curvelet coefficient that fall below the threshold value. By the experimentation of combining the attributes of both transformations, it can be seen that using this method to denoise images corrupted with white noise is better than using the wavelet and curvelet denoising methods individually.

关键词： curvelet transform wavelet transform image denoise white noise

作者: ZHAO jiuling LV qiujuan ZHAO jiufen

作者单位: The Second Artillery Engineering Institute, Xian 710025

会议类型: 国际会议

会议名称: 第七届国际测试技术研讨会

会议地点: 北京

会议语种:英文

在线出版日期: 2007-08-05（万方平台首次上网日期，不代表论文的发表时间）