Abstract: Integral time is the key factors to determine IRFPA (Infrared Focal Plane Arrays) imaging quality. In order to solve the problem that a infrared measurement system can’t real-time determine the optimal integration time, an IRFPA integral time adaptive predictive method based on radiation calibration and human visual characteristics was brought forward. Suppose the target and the background in two consecutive frames don’t change, the information of target and background during the other integral time can be computed by combining with the results of prior radiation calibration and the information of target and background. Then, the optimal integral time can be determined automatically by the judgment based on human visual characteristics and tracking criterion. Experimental results show that the method can rapidly predict the optimal integral time, and make the image in the middle of the IRFPA response linear region. The method can not only ensure the image quality but also be conducive to the target initial capture and stable tracking.

Key words: image and information processing, adaptive prediction, radiation calibration, human visual characteristics