Linking luminance and lightness by global contrast normalization.

Linking luminance and lightness by global contrast normalization.
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通过全局对比度标准化将亮度和亮度联系起来

DOI:
10.1167/14.7.3
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发表时间:
2014
期刊:
影响因子:
1.8
通讯作者:
Maertens
Maertens
中科院分区:
医学4区
文献类型:
--
作者:
Zeiner;Maertens

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翻译后摘要:摘要在本实验中,我们解决了视觉系统如何确定表面亮度的视网膜图像中的亮度的问题。我们测量了嵌入定制棋盘的目标表面的感知亮度。棋盘由10个不同反射率值的10 × 10个方格组成,这些值在棋盘上随机排列。他们在六种观看条件下进行渲染,包括平面视图,阴影投射圆柱体,或四种不同的透明介质覆盖部分板。对于每一个反射率,我们在不同的观看条件下测量其相应的亮度。然后,我们评估了亮度匹配的四个观察者在不同的观看条件下的每个反射率。我们得出的预测感知亮度的基础上,局部亮度,迈克尔逊对比度,边缘集成,锚定理论,和归一化迈克尔逊对比度的措施。归一化对比度测量是表面亮度的最佳预测因子,几乎与实际反射率值一样好。归一化对比度测量将迈克尔逊对比度的局部计算与对比度范围相对于平面视图中的对比度范围的基于区域的归一化相结合。如何实现图像区域的分离仍有待阐明。
Abstract:Abstract In the present experiment we addressed the question of how the visual system determines surface lightness from luminances in the retinal image. We measured the perceived lightness of target surfaces that were embedded in custom-made checkerboards. The checkerboards consisted of 10 by 10 checks of 10 different reflectance values that were arranged randomly across the board. They were rendered under six viewing conditions including plain view, with a shadow-casting cylinder, or with one of four different transparent media covering part of the board. For each reflectance we measured its corresponding luminance in the different viewing conditions. We then assessed the lightness matches of four observers for each of the reflectances in the different viewing conditions. We derived predictions of perceived lightness based on local luminance, Michelson contrast, edge integration, anchoring theory, and a normalized Michelson contrast measure. The normalized contrast measure was the best predictor of surface lightness and was almost as good as the actual reflectance values. The normalized contrast measure combines a local computation of Michelson contrast with a region-based normalization of contrast ranges with respect to the contrast range in plain view. How the segregation of image regions is accomplished remains to be elucidated.
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影响因子: 64.8
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