An Improved Combined Multiscale Method for Image Denoising  

作　　者：LI Ying XU Xing BAI Bendu ZHANG Yanning 

机构地区：[1]School of Computer Science, Northwest Polytechnical University, Xi＇an 710072, China

出　　处：《Chinese Journal of Electronics》2008年第4期681-684,共4页电子学报（英文版）

基　　金：This work is supported by the Specialized Research Found for the Doctoral Program of Higher Education （No.20070699013）, the Natural Science Foundation of Shaanxi Province （No.2006F05） and the Aeronautical Science Foundation （No.05153076）,

摘　　要：This paper proposes an improved combined multiscale method for image denoising. It uses the adaptive Bayesian shrinkage on the Undecimated wavelet transform （UWT） coefficients to denoise homogeneous areas, and the hard thresholding on the Fast discrete curvelet transform （FDCT） coefficients to denoise areas with edges. At the same time, it adopted a simple method to fuse two filtered images by UWT and FDCT separately. The experimental results indicate that this method has better performance with easier implementation and lower computational complexity than the existing combined methods.

关 键 词：Curvelet transform Wavelet transform Image denoising. 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]