Testing method of camera dynamic response

The dynamic response of cameras affects the image quality apparently, characterized by the image blurring, the distortion of geometrical size and gray of image, when shoot a dynamic scene. A particular experimental setup was designed upon the mechanism of cameras, the gray data containing the response information were extracted from the concerned pixels of the motion image, and then the dynamic response was modeled by processing the extracted gray data with Least-square algorithm. The result indicates that the dynamic response of cameras can be expressed as a first-order system, a model with agreeable accuracy due to the fitting error approximating to 0.2. The proposed method can be readily used for testing the dynamic response of cameras in general application, and the dynamic response can be applied to resolve some related problems in machine vision.