基于直方图匹配和小波融合的红外图像增强

2016 Fourth International Japan-Egypt Conference on Electronics, Communications and Computers (JEC-ECC) Pub Date : 2016-05-01 DOI:10.1109/JEC-ECC.2016.7518980

Eman A. Donia, Ghada M. El-Banby, El-Sayed M. El-Rabaie, O. Faragallah, F. A. Abd El-Samie

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引用次数: 7

摘要

本文提出了直方图匹配和小波融合相结合的红外图像增强技术。图像增强的评价指标包括熵、标准差、边缘强度、对比度和平均梯度。结果表明，红外图像与视觉图像的直方图匹配增强了图像的外观。此外，小波融合可以实现不同增强图像之间的数据合并。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Infrared image enhancement based on both Histogram matching and wavelet fusion

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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来源期刊

2016 Fourth International Japan-Egypt Conference on Electronics, Communications and Computers (JEC-ECC)

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