Motion Image De-blurring System Based on the Effectiveness Parameters of Point Spread Function

For the past many years, imaging technology has been flourishing innovation. There have developed a number of multimedia imaging equipment, such as vehicle driving recorders, smartphone photography, sport cameras, SLR cameras etc. Some multimedia imaging equipment was also generally begun to be widely used in public. But despite the advances in image processing technology and improved, there are still some of the issues have not been fully dealt with properly. Such as in the high speed moving, attempting to capture motion pictures, the objects are likely to cause the image blur. These potential challenges are worth to be studied and improved. In this paper, we will explore the influence of the dynamic camera motion blur reason and attempt to perform de-blurring on motion blurred image. During the experiment, we will set up the photographic equipment to record motion images at different speeds on sliding track, and combine inertial measurement unit to collect data of the triaxial accelerometer motion. In order to facilitate analysis of the next stage of the experiment, we use Kalman filtering to deal for noise reduction with data of the triaxial accelerometer motion. According to capture motion images at different speeds, building the motion image de-blurring system is based on the effectiveness parameters of point spread function.