个性化圆盘函数耦合OpenCV的离焦模糊图像复*原算法研究
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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.
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.
引文
[1]孔英蕾.一种离焦模糊图像的盲复原方法[J].电子技术应用,2013,39(1):125-128.
[2]Xie Zhengxiang,Wang Zhifang,L Xiafu.Adaptively op-ti-mal compensation for vision contrast resolution and ma-chine vision[C]//Proceedings of the 3rd International Con-gress on Image and Signal Processing(CISP 2010)2010,3(2):213-216.
[3]程凡永基于OpenCV的匀速模糊图像复原与算法分析[J].湖南工业大学学报,2011,25(3):59-63.
[4]范海菊离焦模糊图像模糊半径检测的新方法[J].计算机应用,2012,32(7):1875-1878.
[5]Xu X Y,Xu S Z,Jin L H,et al.Characteristic Analysis ofOtsu Threshold and Its Applications[J].Pattern Recogni-tion.2011,2(1):124-128.
[6]王蕾基于改进卡尔曼滤波的盲图像恢复[J].计算机应用,2011,31(3):711-714.
[7]邵明省.基于蛙跳算法的模糊图像复原[J].激光与光电子学进展,2011,5(4):24-26.
[8]Plissiti ME,Nidou C,Charchanti A.Watershed-based seg-mentation of cell nuclei boundaries on Pap smear images[C]//2010 10th IEEE International Conference on Infor-mation Technology and Applications in Biomedicine,2011,2(4):145-149.
[9]梁涛.基于OpenCV的视频图像人眼跟踪方法的研究[J].科学技术与工程,2013,21(2):78-79.
[10]李洪雷.VC++环境下基于OpenCV的摄像机标定系统的开发[J].计算机应用与软件,2011,28(6):19-24.
[11]代雷,吴迪,张健.基于OpenCV视觉库的ESPI图像增强技术研究[J].电子测量与仪器学报,2013,27(10):975-979.
[12]雷建锋,汪伟.基于OpenCV的图像阈值分割研究与实现[J].现代电子技术,2013,12(24):73-76.
[2]Xie Zhengxiang,Wang Zhifang,L Xiafu.Adaptively op-ti-mal compensation for vision contrast resolution and ma-chine vision[C]//Proceedings of the 3rd International Con-gress on Image and Signal Processing(CISP 2010)2010,3(2):213-216.
[3]程凡永基于OpenCV的匀速模糊图像复原与算法分析[J].湖南工业大学学报,2011,25(3):59-63.
[4]范海菊离焦模糊图像模糊半径检测的新方法[J].计算机应用,2012,32(7):1875-1878.
[5]Xu X Y,Xu S Z,Jin L H,et al.Characteristic Analysis ofOtsu Threshold and Its Applications[J].Pattern Recogni-tion.2011,2(1):124-128.
[6]王蕾基于改进卡尔曼滤波的盲图像恢复[J].计算机应用,2011,31(3):711-714.
[7]邵明省.基于蛙跳算法的模糊图像复原[J].激光与光电子学进展,2011,5(4):24-26.
[8]Plissiti ME,Nidou C,Charchanti A.Watershed-based seg-mentation of cell nuclei boundaries on Pap smear images[C]//2010 10th IEEE International Conference on Infor-mation Technology and Applications in Biomedicine,2011,2(4):145-149.
[9]梁涛.基于OpenCV的视频图像人眼跟踪方法的研究[J].科学技术与工程,2013,21(2):78-79.
[10]李洪雷.VC++环境下基于OpenCV的摄像机标定系统的开发[J].计算机应用与软件,2011,28(6):19-24.
[11]代雷,吴迪,张健.基于OpenCV视觉库的ESPI图像增强技术研究[J].电子测量与仪器学报,2013,27(10):975-979.
[12]雷建锋,汪伟.基于OpenCV的图像阈值分割研究与实现[J].现代电子技术,2013,12(24):73-76.