个性化圆盘函数耦合OpenCV的离焦模糊图像复*原算法研究  

Research on Restoration for Defocus Blurred Image Based on Individual Disk Function Coupled OpenCV

作　　者：梁娟[1] LIANG Juan(Shaanxi College of Communication Technology,Xi＇an 710018)

机构地区：[1]陕西交通职业技术学院,西安710018

出　　处：《舰船电子工程》2018年第5期90-92,158,共4页Ship Electronic Engineering

摘　　要：为了改善图像去模糊效果。论文提出一种改进的离焦模糊图像方法。首先对模糊图像离散时间傅里叶变换,得频谱条纹宽度与模糊距离关系式,得模糊距离即圆盘函数半径,从而构建点扩散函数即圆盘函数。然后,基于个性化圆盘函数的维纳复原处理模糊图像。并利用图像增强中的二维锐化方法辅助处理模糊图像,去除噪声干扰,完成离焦模糊图像的复原。对成像设备离焦造成的模糊图像进行频谱分析,估计出模糊距离,进而求得图像的圆盘函数。采用维纳滤波和二维锐化复原图像。论文基于OpenCV和VC++平台MFC框架,实现一款离焦模糊图像复原软件,验证了该算法具有更高的复原质量。In order to improve the image defuzzification effect,the image restoration algorithm based on individual disk function coupled Open CV is proposed in this paper. Firstly,the fuzzy image discrete time Fourier transform is used to get the relation between the spectral fringe width and the fuzzy distance,and the fuzzy distance is obtained,namely the radius of the disk function so as to build the point spread function,namely the disc function. Then,the Wiener restoration based on the personalized disk function is used to deal with the fuzzy image. The two dimensional sharpening method in image enhancement is used to assist the fuzzy image processing,and the noise interference is removed,and the restoration of the defocus blurred image is completed. The fuzzy image caused by the defocus of the imaging equipment is analyzed,and the fuzzy distance is estimated,and then the disk function of the image is obtained. Wiener filtering and two-dimensional sharp restoration of image are used. Experimental results show that the method achieve better effect in defocus blurred image restoring by comparison with conventional restoring and enhancing,and is feasible in engineering. A defocused fuzzy image restoration software is implemented based on the MFC framework of OpenCV and VC＋＋ platform,experimental results also show that the algorithm has a higher recovery quality.

关 键 词：图像复原 离焦模糊图像 个性化圆盘函数 图像增强 MFC OPENCV 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]