A New Method of IRFPA Nonuniformity Correction

摘要

In order to meet the demand of real time nonuniformity correction of Infrared Focal Plane Array (IRFPA), a new algorithm based on neural network (NN) is proposed. Comparing to the traditional NN algorithm, the new algorithm uses weighted average of four adjacent pixels value to calculate the expected output value, and uses weighted average of four adjacent corrected output value to replace the finally corrected value. With the help of high performance image-processing system based on TMS320C6201 DSP, the nonuniformity of IRFPA is real time corrected. In this paper the mathematical model of the new NN algorithm is established, and the specific hardware correction process is expatiated. At last experimental results are given out. The results show that new NN algorithm is more satisfying to increase the quality of the corrected image.