期刊名称:International Journal of Computer Science & Technology
印刷版ISSN:2229-4333
电子版ISSN:0976-8491
出版年度:2010
卷号:1
期号:2
出版社:Ayushmaan Technologies
摘要:Infrared focal plane arrays (IRFPA) imaging systems are strongly affected by the spatial non-uniformity of the IRFPA response. The non-uniformity is due to the pixel-to-pixel responsivity (gain) and dark current (offset) variations of the IRFPA. The nonuniformity results in a fixed spatial noise superimposed on the infrared image, which can completely mask the useful thermal signatures in an infrared scene. What makes this problem even more challenging is that spatial non-uniformity drifts temporally as a result of variations in the IRFPA working conditions. Such drift require a real-time compensation for IRFPA’s response in the course of imaging system operation]. Numerous nonuniformity correction (NUC) techniques have been developed. Traditional Reference-based calibration techniques rely on the known blackbody calibration-source. But they can’t suppress drift of IRFPA’s response effectively. Now non-uniformity correction techniques are being focused on some scene-based algorithms. Essentially, scene-based techniques identify the true infrared image from the fixed-pattern noise by exploiting motion-related features in the image.