基于混合编码曝光的匀加速运动模糊图像复原方法

A Constant Acceleration Motion Blur Image Deblurring Based on Hybrid Coded Exposure

针对运动模糊图像复原问题中点扩展函数难以准确获得和图像反卷积的病态性,提出了一种基于混合编码曝光相机的运动模糊复原框架。混合编码曝光相机由一个高速双目立体相机和一个高分辨率编码曝光相机构成。编码曝光相机在其曝光过程中由一个二进制编码控制其快门的开关状态。双目立体摄像机作为一个运动传感器在编码相机曝光的开始、中间和结束时刻分别拍摄三对立体图像对。提出了一种基于二进制编码和运动参数的PSF评估算法和一种基于双目立体视觉的运动测量算法来获得运动参数。在获得编码曝光运动模糊图像的PSF后,使用直接反卷积方法进行图像复原获得清晰图像。实验结果表明,该方法能够自动快速有效地对运动模糊图像进行复原。

Accurate PSF （Point Spread Function） estimation and image deeonvolution are two key point problems during motion blur image deblurring. Aimed at these key problems, a motion deblurring framework based on hybrid coded exposure camera was proposed. The hybrid coded exposure camera is made up of a high-speed stereo camera and a high-resolution coded exposure eamera. The coded exposure camera is the main camera which uses a kind of binary eede to control the shutter during the exposure time. As a secondary motion sensor, the stereo camera can capture three image pairs in the beginning, middle and the end time of the coded exposure camera＇ s exposure time. An algorithm based on the binary code and the motion parameters was proposed to estimate the accurate PSFs of the coded exposure images. The motion parameters are obtained by a motion measurement algorithm based on the stereo vision. Direct deconvolution algorithm was used for deblurring the blur images. The experiment results show that the technique aforementioned can deblur constant acceleration motion blur images effectually and quickly.