Infrared Imaging Study Of The Non-uniformity Correction Technology

Uncooled infrared focal plane infrared imaging system is a trend in the development of infrared imaging technology, and there will be great significances to research and develop the portable and high definition infrared focal plane arrays imaging system independently. However, due to the limitations of manufacturing level, the non-uniformity problem of uncooled infrared focal plane arrays becomes the fundamental reason that constraint its applications of infrared imaging technology. Considering the economic efficiency and application values, the current improved method of the non-uniformity of uncooled infrared focal plane arrays is mainly by using non-uniformity correction algorithms.This study derives from the laboratory's UL01011 uncooled infrared thermal imaging system, and mainly researches the non-uniformity correction techniques of uncooled infrared focal plane imaging system. The purpose of this study is that using the post correcting restoration methods to correct the infrared detector non-uniformity to improve the quality of infrared thermal imaging and to enhance the visibility of infrared imaging, and providing correcting restoration algorithms library for the UL01011 uncooled infrared thermal imaging system, and running theses correcting restoration algorithms in its DSP image correcting subsystem.The main work is to realize correcting restoration of original infrared images, including four parts: analyzing non-uniformity problem, original infrared image processing programs, researching correction algorithm, realizing image correction subsystem. And this study focuses on the research of non-uniformity correction algorithms and its implementing in the DSP image correcting subsystem.Traditional temperature calibration correction program has the best practical applications by using reference blackbody thermal radiation sources, but is more cumbersome to operate, especially for special occasions which temperature change rapidly, so it does not suit for frequent temperature calibration completely. To resolve this problem, based on the number of non-uniformity correction algorithms, this paper proposes two new non-uniformity correction algorithms: parameters extraction and parameters mining correction algorithms. The two new correction algorithms do not depend on blackbody radiation sources, and experiments show that the new correction algorithms have superior performance. Especially, the parameters extraction correction algorithm could have project applications.