Research on Image Denoising New Method Based on Curvelet Transform

摘要：

Wavelet transform only has spot singularity but curvelet transform has advantage of multi-scale singularity in each direction. After analyzing the method of image denoising by curvelet transform based on USFFT, the paper puts forward a new method VVCSC, which uses wrapping and cycle-spinning combined curvelet transform to improve existing algorithm. According to the simulated experiment, the results of the denoised pictures show that the improved algorithm has reduced the Pseudo-Gibbs phenomena, can reserve more detail information, texture of images and get higher seeing impression and PSNR value under the noise standard deviation.

关键词： wavelet transform curvelet transform USFFT cycle spinning ringing effect

作者: Li Dan Qian Jiansheng

作者单位: Department of Information and Electric Engineering, University of Mining and Technology Xuzhou, Chin Department of Information and Electric Engineering, University of Mining and Technology Xuzhou, Chin

会议类型: 国际会议

会议名称: 2010 International Conference on Image Analysis and Signal Processing(2010 图像分析与信号处理国际会议 IASP 10)

会议地点: 厦门

会议语种:英文

页码: 202-205

在线出版日期: 2010-04-12（万方平台首次上网日期，不代表论文的发表时间）