NUC correction of IR FPA and error analysis with FPGA

Cheng-liang Ge; Zhi-qiang Liu; Jian-tao Wu; Zheng-dong Li; Zhi-wei Huang; Min Wan; Xiao-yang Hu; Guo-bin Fan; Zheng Liang

doi:10.1117/12.790931

3 March 2008 NUC correction of IR FPA and error analysis with FPGA

Cheng-liang Ge, Zhi-qiang Liu, Jian-tao Wu, Zheng-dong Li, Zhi-wei Huang, Min Wan, Xiao-yang Hu, Guo-bin Fan, Zheng Liang

Author Affiliations +

Proceedings Volume 6621, International Symposium on Photoelectronic Detection and Imaging 2007: Photoelectronic Imaging and Detection; 66211P (2008) https://doi.org/10.1117/12.790931
Event: International Symposium on Photoelectronic Detection and Imaging: Technology and Applications 2007, 2007, Beijing, China

Abstract

Infrared camera with IR FPA (Focal Plane Array) has often been used in the fields of target detection, temperature test, surface detection, and so on. And it is very important to run the Non Uniformity Correction (NUC) correction firstly to solve the non-uniformity of FPA which is the inherent character of IR FPA. The NUC character is the inherent performance of IR FPA which has different response rate among pixels for the same IR radiant. This NUC can decrease sensitivity of IR FPA and reduce the resolution of sensor. There are two kinds of methods to do this correction. One is hardware method which is using the DSP. Another one is software method. Within this device, two-point correction method is used to correct the NUC. The Field Programmable Gate Array (FPGA) is used. The FPGA can do better parallel arithmetic and has more programmability. After the NUC correction, the error analysis of this correction is also made. After the correction, the BPR (Bad Pixel Replacement) can be more than 98%.

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Cheng-liang Ge, Zhi-qiang Liu, Jian-tao Wu, Zheng-dong Li, Zhi-wei Huang, Min Wan, Xiao-yang Hu, Guo-bin Fan, and Zheng Liang "NUC correction of IR FPA and error analysis with FPGA", Proc. SPIE 6621, International Symposium on Photoelectronic Detection and Imaging 2007: Photoelectronic Imaging and Detection, 66211P (3 March 2008); https://doi.org/10.1117/12.790931

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