Title :
Denoising Images using Wiener Filter in Directionalet Domain
Author :
Wang, Zhenjian ; Qu, Changwen ; Cui, Lei
Author_Institution :
Naval Aeronaut. Eng. Inst., Yantai
fDate :
Nov. 28 2006-Dec. 1 2006
Abstract :
An algorithm for denoising image based on directionalet is proposed, and in each high-frequency subbands, adaptive Wiener filtering (window size 1 times 25) is performed. Then, the denoised image is obtained by reconstruction from the filtered coefficients. At last, all directional sub-images are averaged. The experiments results showed that this method outperforms Wiener filtering in standard 2-D wavelet domain. The SNR is improved l~3dB.
Keywords :
Wiener filters; adaptive signal processing; image denoising; image reconstruction; adaptive Wiener filtering; directional subimage averaging; directionalet domain; image denoising; image reconstruction; Channel bank filters; Computational intelligence; Filtering algorithms; Image denoising; Noise reduction; Pixel; Signal to noise ratio; Space technology; Wavelet domain; Wiener filter;
Conference_Titel :
Computational Intelligence for Modelling, Control and Automation, 2006 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7695-2731-0
DOI :
10.1109/CIMCA.2006.80
