Adaptive scene-based gray super-resolution technology of infrared focal plane imaging system

When the IR imaging system observing the target, especially small target, gray resolution is not enough. In this paper, a gray super-resolution technology based on adaptive scene characteristic was proposed. The description on method of imaging super-resolution was given by adjusting the ranges of imaging signals on infrared focal plane imaging system in details. The three contents were as follows: extracting the gray characteristic of the scene, analyzing gray characteristic of scene to get the adjusting witness for super-resolution adjusting; combined with adaptive filtering algorithm based on LMS to give the adjusting parameters after filtering on adjust witness; completing gray super-resolution by controlling the parameters in super-resolution circuit. At last, the total scheme was validated with experiment. The experiment in infrared focal plane array imaging system has proved the feasibility of this method, and the imaging quality is improved evidently. Gray resolution is improved greatly. The system MRTD can be improved more than one times in the test.