Infrared non-uniformity correction algorithm based on virtual perimeter diaphragm strips

Non-uniformity correction (NUC) plays an important role in improving image quality of the infrared focal plane array(IRFPA).A non-uniformity correction algorithm for IRFPA based on virtual perimeter diaphragm strips is proposed. This algorithm initially executes one-point correction to the perimeter detectors using artificial neural networks. Then based on the scene information and shift between adjacent frames, a special algebraic algorithm is proposed to transport correction parameters from perimeter detectors to those interior un-corrected ones. In this way, the correction parameters of the whole field of view (FOV) are calculated. It doesn't need to change the mechanical structure of the imaging system. This novel algorithm has a high computational efficiency and is able to realize adaptive one-point correction without covering the central FOV rapidly. It proves to get a satisfying correction effect after being tested by using real and simulated infrared images.