灰度融合图像目标与背景感知对比度客观评价模型

Target-background perceptual contrast metric for gray fusion images

目标与背景感知对比度是影响可见光与红外灰度融合图像质量的主要因素之一。现有的对比度评价模型未能充分考虑人眼视觉特性。因此,基于韦伯对比度模型的形式,结合人眼亮度掩盖特性,提出了一种简单有效的融合图像目标与背景感知对比度评价模型。利用模拟图像和现实场景灰度融合图像的主观评价分数来检验客观评价模型。结果表明,与现有的5种图像对比度评价模型相比,所提出的目标与背景感知对比度客观评价模型能够给出更接近人眼主观感受的评价结果,有效地实现灰度融合图像目标与背景感知对比度的客观评价。

Perceptual contrast between the target and background is one of the main influencing factors of visible and infrared gray fusion image quality. Existing contrast metrics have not put enough consideration for the human visual system. An simple and effective target-background perceptual contrast metric was proposed combined with the human luminance masking effect based on the form of Weber contrast model. The simulated image and the observer evaluation scores of real scene gray fusion images were used to test the proposed model. Experimental results show that the proposed target-background perceptual contrast metric provides better predictions than five other existing contrast metrics. It is more closely matched to human perceptual evaluation and can efficiently implement the objective evaluation of target-background perceptual contrast for gray fusion images.