中文摘要：

针对传统相机捕获的图像去运动模糊性能不稳定的问题,对编码相机的原理和编码策略进行研究,提出了一种基于相机优化编码和图像有效边缘的点扩展函数（Point spread function,PSF）估计与去运动模糊方法。首先,对传统相机的alpha蒙板去模糊方法进行研究,并将其扩展到编码相机的去运动模糊;然后,对影响去模糊性能的编码因素进行分析,找出适宜于PSF估计和可逆性的最优化编码;最后,对一种基于有效边缘和最大后验分布的PSF估计方法进行改进,并以有效的边缘梯度为空间先验信息采用由粗到精的迭代方式完成图像的去运动模糊。基于仿真模糊图像与真实模糊图像的实验结果表明,本文方法能够有效地估计PSF,并且去运动模糊方法的性能优于当前技术条件下的其他方法。

英文摘要：

The performance of images captured by traditional camera for motion deblurring is unstable.To tackle the problem,the principle and coded strategy of coded exposure camera are studied,and a novel point spread function（PSF）estimation and motion deblurring approach based on camera-optimized codes and efficient marginal estimation is proposed.Firstly,the alpha matting deblurring approach for traditional camera is investigated,which is extended to coded exposure camera.Then the coded factors influencing deblurring performance are analyzed to find the optimized code fitting for PSF estimation and invertibility.Finally,a PSF estimation approach based on efficient margin and maximum posteriori is modified,and images motion deblurring is accomplished with spatial prior of efficient marginal gradient in a coarse-to-fine way.Experimental results based on simulated and real images show that the proposed algorithm can effectively estimate PSF,and the performance for motion deblurring is superior to that of other existing approaches.