Acta Photonica Sinica, Volume. 49, Issue 1, 0110002(2020)

Infrared Image Nonuniformity Correction Method Adapted to Adjustment of Integration Time

Le BAI1...2, Xue-feng LAI1,*, Wei-qiang HAN1, Hao-guang WANG3, Jin-mei ZHOU1, Sheng LIAO1 and Ru-jin ZHAO1 |Show fewer author(s)
Author Affiliations
  • 1Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, China
  • 2University of Chinese Academy of Sciences, Beijing 100049, China
  • 3Innovation Academy for Microsatellites of CAS, Shanghai 201203, China
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    For the application of conventional infrared image non-uniformity correction method, when the integration time is adjusted, the image gray level may change accordingly, an infrared image nonuniformity correction method adapted to adjustment of integration time was proposed. In this method, the black-body calibration images with different integration time and temperature, and the corresponding theoretical infrared radiation were integrated into a whole database, with the loss function of neural network and error reverse transfer mechanism, the correction coefficients in the model were learned during the training. The trained network correct non-uniformity can ensure the stable output of images during the real-time adjustment of infrared camera integration time, it is significant for post infrared image processing. And it is proved that the training of this network does not need enormous calibration datum. In order to deal with the problem of infrared detector response drift, an online learning correction coefficient method is proposed.

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    Le BAI, Xue-feng LAI, Wei-qiang HAN, Hao-guang WANG, Jin-mei ZHOU, Sheng LIAO, Ru-jin ZHAO. Infrared Image Nonuniformity Correction Method Adapted to Adjustment of Integration Time[J]. Acta Photonica Sinica, 2020, 49(1): 0110002

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    Paper Information

    Received: Aug. 20, 2019

    Accepted: Oct. 8, 2019

    Published Online: Mar. 19, 2020

    The Author Email: LAI Xue-feng (laixuefeng@ioe.ac.cn)

    DOI:10.3788/gzxb20204901.0110002

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