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Objective quality evaluation of visible and infrared 033202color fusion image

机译：可见光和红外光的客观质量评价 033202彩色融合图像

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摘要

An evaluation for objectively assessing the quality of visible and infrared color fusion image is proposed. On the basis of the consideration that human perception is most sensitive to color, sharpness, and contrast when assessing the quality of color image, we propose four objective metrics: image sharpness metric (ISM), image contrast metric (ICM), color colorfulness metric (CCM), and color naturalness metric (CNM). The ISM is evaluated by image gradient information. The ICM is defined based on both gray and color histogram characteristics. A color chroma metric, as well as a color variety metric based on a color difference gradient, is proposed, respectively, to define the CCM. The CNM is defined by measuring the color distribution's similarity between the fusion image and nature image, which are of the same scene. All the color attributions are computed in the CIELAB color space. Experimental results show that the proposed objective metrics are meaningful and effective on color fusion image evaluation because they correspond well to subjective evaluation.
机译：提出了一种客观评价可见光和红外彩色融合图像质量的评价方法。在考虑人类感知对颜色、锐度和对比度最敏感的情况下，我们提出了四个客观指标：图像清晰度指标（ISM）、图像对比度指标（ICM）、色彩色彩度指标（CCM）和色彩自然度指标（CNM）。ISM通过图像梯度信息进行评估。ICM 是根据灰色和彩色直方图特征定义的。分别提出了颜色色度度量和基于色差梯度的颜色多样性度量来定义 CCM。CNM是通过测量同一场景的融合图像和自然图像之间的颜色分布相似性来定义的。所有颜色属性都在 CIELAB 颜色空间中计算。实验结果表明，所提出的客观指标与主观评价具有较好的对应性，对色彩融合图像评价具有较好的评价意义和有效性。

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