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A scene-based nonuniformity correction algorithm based on fuzzy logic

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Abstract

Scene-based nonuniformity correction algorithms based on the LMS adaptive filter are quite efficient to reduce the fixed pattern noise in infrared images. They are famous for their low cost of computation and storage recourses. Unfortunately, ghosting artifacts can be easily introduced in edge areas when the inter-frame motion slows. In this paper, a gated scene-based nonuniformity correction algorithm is proposed. A novel low-pass filter based on the fuzzy logic is proposed to estimate the true scene radiation as the desired signal in the LMS adaptive filter. The fuzzy logic can also evaluate the probability that a pixel and its locals belong to edge areas. Then the update of the correction parameters for the pixels in edge areas can be gated. The experiment results show that our method is reliable and the ghosting artifacts are reduced.

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Acknowledgments

This work was supported in part by the Ph.D. Programs Foundation of Ministry of Education of China under Grant 20120142110088, the Postdoctoral Science Foundation of China under Grant 2015M572194, the National Natural Science Foundation of China under Grant 61275098, and the Natural Science Foundation of Hubei Province of China under Grant 2011CDB027.

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Authors and Affiliations

  1. Electronics Information School, Wuhan University, Wuhan, 430072, China

    Jun Huang, Yong Ma & Fan Fan

  2. School of Electronic Information and Communication, Huazhong University of Science and Technology, Wuhan, 430074, China

    Xiaoguang Mei & Zhe Liu

Authors
  1. Jun Huang
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  2. Yong Ma
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  3. Fan Fan
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  4. Xiaoguang Mei
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  5. Zhe Liu
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Corresponding author

Correspondence to Fan Fan.

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Huang, J., Ma, Y., Fan, F. et al. A scene-based nonuniformity correction algorithm based on fuzzy logic. Opt Rev 22, 614–622 (2015). https://doi.org/10.1007/s10043-015-0107-4

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  • DOI: https://doi.org/10.1007/s10043-015-0107-4

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