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Infrared Image Enhancement Based on Both Histogram Matching And Wavelet Fusion
Conference proceeding

Infrared Image Enhancement Based on Both Histogram Matching And Wavelet Fusion

Eman A. Donia, El-Sayed M. El-Rabaie, Gh. M. El-Banby, Osama S. Faragallah, Fathi E. Abd El-Samie and IEEE
2016 FOURTH INTERNATIONAL JAPAN-EGYPT CONFERENCE ON ELECTRONICS, COMMUNICATIONS AND COMPUTERS (JEC-ECC), pp.111-114
01/01/2016

Abstract

Computer Science Computer Science, Hardware & Architecture Computer Science, Information Systems Engineering Engineering, Electrical & Electronic Science & Technology Technology Telecommunications
This paper proposes using both of the Histogram matching and wavelet fusion as an enhancement technique for infrared images (IR). Evaluation metrics for image enhancement includes entropy, standard deviation, edge intensity, contrast and average gradient. Results revealed that histogram matching of IR images to visual images enhances of the appearance of the images. Moreover, wavelet fusion can achieve data merging between different enhanced images.

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