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.