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Estimating illuminant color based on luminance balance of surfaces

机译:根据表面的亮度平衡估算光源颜色

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To accomplish color constancy the illuminant color needs to be discounted from the light reflected from surfaces. Some strategies for discounting the illuminant color use statistics of luminance and chromaticity distribution in natural scenes. In this study we showed whether color constancy exploits the potential cue that was provided by the luminance balance of differently colored surfaces. In our experiments we used six colors: bright and dim red, green, and blue, as surrounding stimulus colors. In most cases, bright colors were set to be optimal colors. They were arranged among 60 hexagonal elements in close-packed structure. The center element served as the test stimulus. The observer adjusted the chromaticity of the test stimulus to obtain a perceptually achromatic surface. We used simulated black body radiations of 3000 (or 4000), 6500, and 20000 K as test illuminants. The results showed that the luminance balance of surfaces with no chromaticity shift had clear effects on the observer's achromatic setting, which was consistent with our hypothesis on estimating the scene illuminant based on optimal colors.
机译:为了实现颜色恒定,需要从表面反射的光中消除光源的颜色。减少光源颜色的一些策略使用自然场景中亮度和色度分布的统计数据。在这项研究中,我们证明了颜色恒定性是否利用了不同颜色表面的亮度平衡所提供的潜在提示。在我们的实验中,我们使用了六种颜色:明亮和暗红色,绿色和蓝色作为周围的刺激颜色。在大多数情况下,将明亮的颜色设置为最佳颜色。它们以密排结构排列在60个六角形元素之间。中心元素充当测试刺激。观察者调整测试刺激的色度以获得可感知的消色差表面。我们使用3000(或4000),6500和20000 K的模拟黑体辐射作为测试光源。结果表明,没有色度偏移的表面的亮度平衡对观察者的消色差设置具有明显的影响,这与我们基于最佳颜色估计场景光源的假设相一致。

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