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一种复小波域维纳滤波结合偏微分方程图像去噪方法
引用本文:张曈.一种复小波域维纳滤波结合偏微分方程图像去噪方法[J].中国科技信息,2011(20):54-55.
作者姓名:张曈
作者单位:宝鸡文理学院物理与信息技术系,陕西 宝鸡,721007
摘    要:本文提出了一种基于复数小波域上的多方向窗维纳滤波与偏微分方程保持边缘细节相结合的方法。针对小波域维纳滤波的方向性差,本方法先进行复数小波变换,获得六个方向上的图像信号,该六个方向进行方向维纳滤波,对图像进行去噪,以此引导偏微分方程中的扩散函数,实现各项异性进行扩散。实验结果表明,本文所提出的方法的峰值信噪比,以及视觉质量都较复小波去噪或各项异性非线性扩散去噪方法有明显的改善。

关 键 词:双树复数小波  方向窗维纳滤波  扩散函数  图像去噪

Based on the Dual-Tree Complex Wavelet with B Directional Wiener Filter Combine Partial Differential Equation in Image Denoising
Zhang Tong.Based on the Dual-Tree Complex Wavelet with B Directional Wiener Filter Combine Partial Differential Equation in Image Denoising[J].CHINA SCIENCE AND TECHNOLOGY INFORMATION,2011(20):54-55.
Authors:Zhang Tong
Institution:Zhang Tong(Department of Physics and in Form.Teconl,Baoji University of Arts& Science,Baoji 721007,China)
Abstract:A new image denoising method based on Dual-Tree complex wavelet combining partial differential equation in image denoising is presented.Image denoising with Wiener filter is not kept the edges of the image well enough because lack of directional ability in common tensor wavelet transform..Results of experiment show: the recovered images have the higher PSNR and better visual quality than DTCW and PDE.
Keywords:Complex wavelet  Directional Wiener filtering  Part  Diffusion function  Image denoising  
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