The Application of Image Denoising Algorithm Based on M-band Wavelet Transform

摘要：

Image denosing algorithm based on M-band Wavelet Transform is a technical hot spot in denosing research field at present On the basis of two-band wavelet, the M-band wavelet transform selects selfadaptation and corresponding frequency range and make it match with the frequency spectrum of the signals according to characteristics of signals analyzed, so as to increase time-requency resolution,The denoising effect by using Normal Shrink for threshold estimation is superior to Wiener filtering and twoband wavelet, and can effectively preserve the image edge effects.

关键词： M-band wavelet image denoising soft threshold

作者: Zhang Yanlin

作者单位: Computer Science Department Wenzhou Vocational & Technical College Wenzhou,China

会议类型: 国际会议

会议名称: 2010 4th International Conference on Intelligent Information Techonlogy Application(第四届智能信息技术应用国际学术研讨会 IITA 2010)

会议地点: 秦皇岛

会议语种:英文

页码: 436-439

在线出版日期: 2010-11-05（万方平台首次上网日期，不代表论文的发表时间）