Microscanning Reconstruction Algorithm for IR Imaging System

Microscanning is an effective method for reducing spectrum aliasing and raising spatial resolution. It is widely used in IRFPA imaging system. Based on introducing microscanning imaging technique, the imaging process and the direct reconstructed algorithm of 2×2 microscanning are analyzed. A weighted interpolated reconstruction algorithm based on pixel-correlation is proposed and the interpolated image is corrected with microscanning low-resolution images. Experiments indicate that RPSNR of new algorithm reconstructed image is 1.82 dB higher than the direct reconstructed image and eMSE is 34% lower, so it can effectively improve the microscanning imaging effects.