基于小波域维纳滤波的图像复原算法优化

作为图像复原中一个非常重要的环节,图像去噪是为了取得一个视觉上的高质量图像.通常对小波域维纳滤波的研究都是在图像为零均值的情况下研究,但在现实情况中图像一般不为零均值,于是该文考虑了图像不是零均值的情况,并对局部期望的均方误差参数进行改进,形成参数LSI.通过比较原参数和LSI,根据它们中较小的数进行阈值化处理,选择小波系数,最后进行图像去噪.仿真结果表明,改进后的滤波器对于图像有一个更高的峰值信噪比,有效地改善了小波域维纳滤波算法的性能.

Image restoration algorithm optimization based on wavelet domain wiener filter

As a very important part in image restoration,image denoising is to get a high quality image on the visual.Previous studies on wavelet domain wiener filtering were studied as the image has a zero mean condition,but most image is not generally as a zero mean condition in reality,so in this paper,we considered that the image doesn't has a zero mean assumption,then improved the local expected square error parameter,and created the parameter LSI.Through the comparison of the original parameter to the LSI,we carried out the threshold processing according to the small number of them,and then selected the wavelet coffieients,we made the image deniosing in the end.The simulation results showed that the improved filter had a higher peak signal to noise ratio for the image,and effectively improved the performance of the wavelet domain wiener filtering algorithm.