Infrared Video Enhancement Using Contrast Limited Adaptive Histogram Equalization and Fuzzy Logic

Document Type : Original Article

Authors

1 Electronics & Communication Dept. Faculty of Eletronic Engineering, Menoufia University Egypt

2 Electronics & Communication Dept. Faculty of Shoubra Engineering, BanhaUniversity Egypt

3 Department of Automatic Control Faculty of Eletronic Engineering, Menoufia University Egypt

4 Computer Science & Engineering Dept. Faculty of Eletronic Engineering, Menoufia University Egypt

Abstract

Infrared image enhancement is a challenging task due to several factors such as low dynamic range, noise and non-uniformity effect. The non-uniformity is a time-dependent noise that appears owing to the lack of sensor equalization. This paper presents two proposed approaches for infrared video enhancement. The first proposed approach depends on histogram matching. The second one depends on contrast limited adaptive histogram equalization (CLAHE) and fuzzy logic. The performance metrics of average gradient, entropy, contrast improvement factor and Sobel edge magnitude are used for evaluating the obtained results.

Keywords

References

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Menoufia Journal of Electronic Engineering Research
Volume 28, ICEEM2019-Special Issue
ICEEM2019-Special Issue: 1st International Conference on Electronic Eng., Faculty of Electronic Eng., Menouf, Egypt, 7-8 Dec.
2019
Pages 231-236

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