典型场景彩色融合图像颜色协调性的主观评价
Color-quality subjective evaluation for color fusion images of typical scenes based on color harmony
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摘要: 彩色夜视技术是当前夜视技术发展的前沿,但如何实现对彩色夜视图像质量的客观评价仍然是当前困扰人们的问题.针对北京理工大学高绍姝提出的颜色协调性模型主观评价实验人数不足的问题,按照国际视觉实验标准重新设计并进行了颜色协调性的主观视觉评价实验,主观评价测试的彩色融合图像分成绿色植物、海天和城镇建筑物三类典型场景,主观实验人数提高到52人;对主观评价实验结果的回归分析结果表明:高绍姝提出的颜色协调性评价模型在三类场景与主观评价结果均具有较好的一致性,明显优于其他评价模型,可以有效地对不同场景彩色融合图像的颜色协调性进行客观评价.Abstract: Color night vision technology is the current forefront in night vision technology field. How to achieve an objective evaluation of color image quality for night vision is still a problem. A new subjective visual evaluation experiment on color harmony was designed and conducted in accordance with the international standards for the underrepresentation problem of the last experiment pointed out by Gao Shaoshu, a BIT doctor. The color fusion images tested for subjective evaluation in the new experiment were divided into three types of typical sceneries: green plants, sea to sky, and urban buildings; experimental subjects were increased to 52. The regression analysis of the experiment results shows that in the three types of sceneries, the assessment model proposed by Gao Shaoshu is in relatively good consistency with the subjective evaluation results, and can be used to make an effective objective evaluation of color fusion images' color harmony in different sceneries.