Image Denoising Based on Haar Wavelet Transform

摘要：

Wavelet transform has widely applied in image denoising, and how to select the threshold is the key to wavelet image denoising.The paper put forward the algrithm for image denoising based on harr wavelet transform. Fisrt, The image with noise is decomposed by Haar wavelt transform, then select the soft threshold to clean the image noise. Experiments show that the algorithm can reduce image noise effectively and improve the detail effect of picture and raise the PSNR value of image.

关键词： Haar Wavelt Transform Soft Threshold Image Denoising

作者: Yang Qiang

作者单位: School of Computer and Information Engineering Yibin University YiBin ,China

会议类型: 国际会议

会议名称: 2011 International Conference on Electronics and Optoelectronics(2011电子学与光电子学国际会议 ICEOE 2011)

会议地点: 大连

会议语种:英文

页码: 588-591

在线出版日期: 2011-07-29（万方平台首次上网日期，不代表论文的发表时间）