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An efficient proposed framework for infrared night vision imaging system

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Abstract

This research presents new three proposed approaches to enhancement the visibility of the Infrared (IR) night vision images. The first proposed approach depends on Hybrid Adaptive Gamma Correction (AGC) with Histogram Matching (HGCHM). The second proposed approach stands up Merging Gamma Correction with Contrast Limited Adaptive Histogram Equalization (MGCCLAHE). The HM uses a reference visual image for converting of night vision images into daytime images. The third approach mixes the benefits of the CLAHE with the undecimated Additive Wavelet Transform (AWT) Using Homomorphic processing (CSAWUH). The quality assessments for the suggested approaches are entropy, average gradient, contrast improvement factor, Sobel edge magnitude, spectral entropy, lightness order error and the similarity of edges. Simulation results clear that the third proposed approach gives superior results to the two proposed approaches from entropy, average gradient, contrast improvement factor, Sobel edge magnitude, spectral entropy and the computation time perspectives. On the other hand, the second proposed approach takes long computation time in the implementation with respect to the two proposed approaches. The second proposed approach gives better results to the first proposed approach entropy, average gradient, contrast improvement factor, Sobel edge magnitude, and spectral entropy perspectives. The first proposed approach gives better results to the two proposed approaches from lightness order error and the similarity of edges perspectives.

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Authors and Affiliations

  1. Department of Computers and Systems Engineering, Bilbis Higher Institute of Electronic Engineering, Bilbis, Sharqia, Egypt

    M. I. Ashiba

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

    H. I. Ashiba

  3. Department of Computer Science and Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, 32952, Egypt

    M. S. Tolba

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

    A. S. El-Fishawy & F. E. Abd El-Samie

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  1. M. I. Ashiba
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  2. H. I. Ashiba
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  4. A. S. El-Fishawy
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  5. F. E. Abd El-Samie
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Correspondence to H. I. Ashiba.

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Ashiba, M.I., Ashiba, H.I., Tolba, M.S. et al. An efficient proposed framework for infrared night vision imaging system. Multimed Tools Appl 79, 23111–23146 (2020). https://doi.org/10.1007/s11042-020-09039-6

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  • DOI: https://doi.org/10.1007/s11042-020-09039-6

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