基于增益标定的ToF相机运动模糊矫正方法OA

This paper aims to reduce the motion blur generated by Time of Flight(ToF)cameras in dynamic scenes,so as to improve the image quality and the accuracy of depth information.A correction method based on gain calibration is proposed.Through gain calibration,the gain coefficient of each pixel is accurately determined,and the four-bit phase shift method in the depth calculation principle is introduced to optimize the exposure time,thus achieving the effect of improving the image quality and the accuracy of depth measurement.A series of tests on the improvement effect are carried out on the motion blur test platform.The results show that this method can significantly improve the depth image quality of the ToF cameras in dynamic scenes.When the rotation speed of the test device is within the range of 100 to 200 r/min,the percentage reduction in the number of erroneous pixels caused by motion blur can reach more than 35%,and can be up to 41.46%at most.Through experimental verification,the motion blur correction method for ToF cameras based on gain calibration can effectively improve the image quality and accuracy of depth information,demonstrating its broad application potential in dynamic environments.