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Infrared and Low-Light-Level Image Fusion Quality Evaluation Based on the Grey Correlation Analysis

机译:基于灰色关联分析的红外与弱光图像融合质量评估

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摘要

In this study, we evaluate comprehensively the indexes of the five image fusion algorithms through the analysis of grey correlation degree. The result shows: HIS transform method shows a better correlation and the fusion image has the best quality; followed by the component transform method, wavelet transform method, weighed average method with an average fusion image quality and pyramid method shows a relatively poor fusion image.
机译:本研究通过对灰色关联度的分析,综合评价了五种图像融合算法的指标。结果表明:HIS变换方法具有较好的相关性,融合图像质量最好。其次是分量变换法,小波变换法,加权平均法和平均融合图像质量法,金字塔法,显示出较差的融合图像。

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