Non-uniformity correction for medium wave infrared focal plane array-based compressive imaging

As a super-resolution imaging method, high-resolution medium wave infrared (MWIR) images can be obtained from a low-resolution focal plane array-based (FPA) sensor using compressive imaging (CI) technology. As a common problem in MWIR FPA imaging, the non-uniformity reduces image quality, which is turning worse in MWIR FPA CI. This paper investigates the source of the non-uniformity of MWIR FPA CI, both in the captured low-resolution MWIR images and in the reconstructed high-resolution ones. According to the system model and the image super-resolution computation process of FPA CI, we propose a calibration-based non-uniformity correction (NUC) method for MWIR FPA CI. Based on the actual MWIR FPA CI system, the effectiveness and practicability of the proposed NUC method are verified, obtaining better results than the traditional method. According to the theoretical analysis and experimental results, the particularities of the non-uniformity in MWIR FPA CI are discovered and discussed, which have certain great guiding significance and practical value.