High-resolution reconstruction and non-uniformity correction from images sequences based on Poisson-Markov model MAP

Non-uniformity correction (NUC) of infrared focal plane array (IRFPA) is the development direction of the future and the basic guarantee to gain high quality thermal imaging system. As both super-resolution restoration and NUC algorithm based on scene need the micro-displacement that between image sequences, we propose super-resolution image restoration and non-uniformity correction algorithm based on Poisson and Markov model maximum a posteriori (MPMAP) focus on infrared low resolution image sequences with non-uniformity noise. The results of simulator image sequences and real infrared thermal image sequences show that the algorithm is presented not only has high super-resolution performance for the image degraded with random noise, but also eliminate the fixed pattern noise effectively.