Non-uniformity correction algorithm based on bilateral filter histogram equalization

The traditional infrared focal plane adaptive correction algorithm has target degradation problem and its convergence time is too long. Aiming at this problem, infrared focal plane adaptive non-uniformity correction algorithm based on bilateral filter histogram equalization was proposed. By analyzing infrared focal plane response characteristics, a statistical model of the infrared focal plane array response was created. According to the model, a single pixel time-domain statistical histogram was calculated firstly, then bilateral filter was fused to get the mean of the neighborhood histogram, and non-uniformity correction was completed using the mean histogram equalization. According to the practical application, this algorithm has the advantage of the strong ability to eliminate the image degradation, fast convergence speed and high precision.