A Combined Image Denoising Method

摘要：

This paper presents a combined denoising method based on an adaptive Wiener filtering in the wavelet domain and an adaptive Wiener filter in the spatial domain. First a pre-denoised image is obtained with the thresholding denoising in the wavelet domain and the residual noise variance of that is re-estimated. Then an adaptive Wiener filtering in spatial domain is applied to the reconstructed image to improve the accuracy. Computer simulation results show that, compared with a separate wavelet and spatial domain Wiener filtering, the mean squared error of the proposed method is the smallest and it obtains better denoising results.

关键词： wavelet wiener filter spatial domain combined filter mean squared error noise variances

作者: Zhao Shuang-ping

作者单位: Department of Software Engineering, Lanzhou Polytechnic College Lanzhou, China

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: 254-256

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）