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New Proposed Algorithms for Infrared Video Sequences Non-uniformity Correction

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Abstract

Infrared (IR) video sequences Improvement is a difficult task because of many factors for example low dynamic range, noise and Non-Uniformity (NU) effect. The NU is a time-dependent noise that appears due to the lack of sensor equalization. So, it is necessary to apply Non-Uniformity Correction (NUC) in video sequences based on the original sight. This paper suggests two schemes for the IR video sequences improvement. The first proposed scheme is a scene-based NUC technique based on Histogram Matching (HM). The noise effect on each picture in the sequence causes some drift in the histogram of that image. Hence, this technique depends on the HM notion for correction the histogram of each image in the sequence relied on the histogram of the original sight. As the original sight is free from the thermal noise effect. The second proposed scheme relies on Contrast Limited Adaptive Histogram Equalization (CLAHE) based NUC. The metrics are adapted to assessment are entropy, contrast factor, average gradient, and edge intensity. From the obtained results, it is clear that the two suggested techniques have succeeded in getting the best results in removing the noise and enhancing image quality. Simulation results prove that the second scheme is better than the first algorithm from point views the performance metrics.

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Authors and Affiliations

  1. Department of Electronics and Electrical Communications Engineering, Bilbis Higher Institute of Engineering, Bilbis, Sharqia, Egypt

    H. I. Ashiba

  2. Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, 32952, Egypt

    Nevein Sadic & Sami El-Dolil

  3. Department of Electrical Engineering, College of Engineering, Jazan University, Jizan, 45142, Saudi Arabia

    Emad S. Hassan

  4. Department of Information Technology, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia

    Fathi E. Abd El-Samie

Authors
  1. H. I. Ashiba
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  2. Nevein Sadic
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  3. Emad S. Hassan
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  4. Sami El-Dolil
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  5. Fathi E. Abd El-Samie
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Correspondence to H. I. Ashiba.

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Ashiba, H.I., Sadic, N., Hassan, E.S. et al. New Proposed Algorithms for Infrared Video Sequences Non-uniformity Correction. Wireless Pers Commun 126, 1051–1073 (2022). https://doi.org/10.1007/s11277-022-09782-z

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  • DOI: https://doi.org/10.1007/s11277-022-09782-z

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