Shutter-less Non-uniformity Correction Methods in Uncooled Infrared Imagery
Due to the limitations of imaging principles and processing technology,uncooled infrared imagery detectors suffer from serious non-uniformities,damaging the imaging results.To improve the quality of infrared images,non-uniformity correction techniques are of great significance for practical applications.According to the physical formation and spatial characteristics of the non-uniformity in uncooled infrared imagery detectors,this paper divides these common non-uniformities into three categories:low-frequency non-uniformity,shot non-uniformity,and stripe non-uniformity.The physical mechanisms of these non-uniformities are further explored from the procedure in the optical system,thermal materials,and amplifier circuit of the uncooled infrared imagery detector.Then,the existing shutter-less non-uniformity correction methods are systematically summarized.Based on the principles of the methods,statistical-based,filter-based,optimization-based,and learning-based non-uniformity correction methods are categorized.Besides,the specifics of each method in dealing with different non-uniformities are clarified and distinguished.Finally,the existing problems in the current methods are reviewed and summarized,and the development trend of non-uniformity correction methods in future practical applications is prospected.