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Infrared image enhancement based on both Histogram matching and wavelet fusion

机译:基于直方图匹配和小波融合的红外图像增强

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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.
机译:本文提出同时使用直方图匹配和小波融合作为红外图像(IR)的增强技术。图像增强的评估指标包括熵,标准偏差,边缘强度,对比度和平均梯度。结果显示,IR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。

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