摘要
为了有效恢复被高斯白噪声污染的图像,将双树复小波变换和自适应Wiener滤波结合起来,提出了一种双树复小波-Wiener滤波去噪算法。仿真结果表明,利用该算法去噪后恢复的图像主观质量和峰值信噪比比基于正交小波变换的门限法和Wiener滤波法都要好。
In order to eliminate the Gauss white noise in the image, the dual-tree complex wavelet transform was combined with the adaptive Wiener filtering and formed the dual-tree complex wavelet - Wiener denoising algorithm. Simulation results show that this new algorithm yields better results, both visually and in terms of PSNR, than thresholding and Wiener filtering based on DWT.
出处
《电路与系统学报》
CSCD
北大核心
2009年第5期109-111,116,共4页
Journal of Circuits and Systems
基金
国家自然科学基金项目(60672087)
