基于亚像素模糊检测的Wiener对运动模糊图像复原方法
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摘要
在图像获取中由于目标运动、拍摄条件等原因,容易产生剧烈的运动模糊,难以辨认。针对运动模糊点扩散函数、信噪比不知的情况下,对传统Wiener进行了创新和实践,探讨了基于亚像素的模糊方向与深度检测和递推迭代的自适应Wiener滤波对运动图像的复原方法。该方法首先对图像进行任一方向的亚像素进行模糊运动方向计算并确认,而后解算模糊尺度。采用先验信噪比进行预设,并迭代推算得出最优值。实验表明,该方法在对拍摄的模糊图像处理能获得较理想的效果。
As influenced by many factors within image acquisition,especially when the target movement status is difficult to obtain,the photography equipment jitter,often produce severe motion blur,it is difficult to identified. The paper aim at innovate traditional Wiener made and practice,when motion function blur and SNR unknown;discuss the Wiener filter for motion image restoration method based on the sub-pixel direction detection and depth. The method first,judge the sub-pixel direction of motion and calculate as well as confirm,and then calculate the fuzzy scale. Empirical SNR is adapt to preinstall, and trans-iterative calculate the optimal value. Experiment results shows that after restoration the blurred motion fighter image is achieved the desired effect.
As influenced by many factors within image acquisition,especially when the target movement status is difficult to obtain,the photography equipment jitter,often produce severe motion blur,it is difficult to identified. The paper aim at innovate traditional Wiener made and practice,when motion function blur and SNR unknown;discuss the Wiener filter for motion image restoration method based on the sub-pixel direction detection and depth. The method first,judge the sub-pixel direction of motion and calculate as well as confirm,and then calculate the fuzzy scale. Empirical SNR is adapt to preinstall, and trans-iterative calculate the optimal value. Experiment results shows that after restoration the blurred motion fighter image is achieved the desired effect.
引文
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[8]李鸿燕,郝润芳.基于维纳滤波和快速独立分量分析的有噪混合图像盲分离[J].计算机应用研究,2007,24(10):164-166.
[9]周玉,彭召意.运动模糊图像的维纳滤波复原研究[J].计算机工程与运用,2009,45(19):181-183.
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[12]邸慧,于起峰.基于自相关的匀速运动模糊尺度参数识别[J].国防科技大学学报,2006,28(5):123-125.
[13]张荩尹,李波,姚春莲.基于最优位置计算的快速亚像素运动估计[J].计算机学报,2005,28(9):1543-1544.
[2]刘晓辉,郭成安,胡家升.惯性约束聚变中环孔编码图像恢复的改进维纳滤波方法「J].光学学报,2004,24(8):1045-1050.
[3]胡小平,陈国良,毛征宇,等.离焦模糊图像的维纳滤波复原研究[J].仪器仪表学报,2007,28(3):479-482.
[4]EDMUND Y L.Digital restoration of defocus images in the wavelet domain[J].Applied Optics,2002,41(23):4806-4811.
[5]张采芳,田岩,柳健,等.运动模糊图像点扩展函数的自动识别方法[J].红外与激光工程,2007,36(2):248-251.
[6]LIU K,QUAN J,YANG J Y,et al.Identification and restoration of image with out-of-focus blurs[C]//SPIE,1991,1567:720-728.
[7]石明珠,许廷发,张坤.运动成像混合模糊的全变分图像复原[J].光学精密工程,2011,19(8):1973-1981.
[8]李鸿燕,郝润芳.基于维纳滤波和快速独立分量分析的有噪混合图像盲分离[J].计算机应用研究,2007,24(10):164-166.
[9]周玉,彭召意.运动模糊图像的维纳滤波复原研究[J].计算机工程与运用,2009,45(19):181-183.
[10]于成波.数字图像处理及MATLAB实现[M].重庆:重庆大学出版社,2003:181-190.
[11]邓泽峰.图像复原技术研究及应用[D].武汉:华中科技大学,2007:41-44.
[12]邸慧,于起峰.基于自相关的匀速运动模糊尺度参数识别[J].国防科技大学学报,2006,28(5):123-125.
[13]张荩尹,李波,姚春莲.基于最优位置计算的快速亚像素运动估计[J].计算机学报,2005,28(9):1543-1544.