Research on Suppression Algorithms of the Ringing Effect Caused by Blind Image Restoration

Yang Ling, Liu Guo-hong, Shi Zuo-yu
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引用次数: 2

Abstract

For blind image restoration resulted in the boundary ringing effect of image, and the traditional Richardson-Lucy filter is as the algorithm of blind image restoration in this paper. After analyzing the causes of boundary ringing effect caused by blind image restoration, this paper propose a boundary ringing suppression algorithm which is extending the boundary of image called Gradient Smooth boundary conditions (Gradient Smooth BCs). The algorithm of this paper makes the extended image meet the Discrete Fourier requirements of periodical data, and the extended boundary of image does not have a significant edge, so that effectively suppress the boundary ringing effect. Through the digital simulation realizing experimental verification, and the parameter of boundary peak signal to noise ratio (BPSNR) and mean square error (MSE) which is introduced to evaluate the restored image, the experimental results show that the algorithm of this paper can effectively evaluate the ringing effect in restored image.
盲图像恢复引起的振铃效应抑制算法研究
由于图像的盲恢复会产生图像的边界环效应,本文采用传统的Richardson-Lucy滤波器作为图像的盲恢复算法。在分析了图像盲恢复产生边界振铃效应的原因后,提出了一种对图像边界进行扩展的边界振铃抑制算法,称为梯度平滑边界条件(Gradient Smooth BCs)。本文的算法使扩展图像满足周期性数据的离散傅里叶要求,并且图像的扩展边界没有明显的边缘,从而有效地抑制了边界振铃效应。通过数字仿真实现实验验证,并引入边界峰值信噪比(BPSNR)和均方误差(MSE)参数对恢复图像进行评价,实验结果表明,本文算法能有效评价恢复图像中的振铃效应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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