Toward a Perceptually Uniform Parameter Space for Filter Transparency
Toward a Perceptually Uniform Parameter Space for Filter Transparency
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DOI：
10.1145/3022732
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发表时间：
2017-02-01
影响因子：
1.6
通讯作者：
Faul, Franz
中科院分区：
文献类型：
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作者：
Faul, Franz
知觉透明度的滤镜模型与透明液体或玻璃等透光物体引起的视网膜投影的规律性有关，已被发现比其他模型更准确地预测知觉透明度的颜色条件。一个重要但尚未解决的问题是，模型参数如何准确地与感知到的透明层的属性相关。我们之前提出了滤镜的色调、饱和度、总体透过率和清晰度的参数化，似乎捕捉到了现象级印象的重要维度。然而，这些参数并不是独立的，相应的尺度在感知上也不是一致的。在这里，提出了一个参数空间的可逆变换，有力地缓解了这些问题。这导致了更直观的可解释参数集，该参数集似乎非常适合于现有刺激的分析和具有预定义感知属性的透明覆盖的生成。后一种属性使其适用于图形和可视化应用程序。
Filter models of perceptual transparency relate to regularities in the retinal projections caused by light transmitting objects like clear liquids or glass and have been found to predict the color conditions for perceptual transparency more accurately than alternative models. An important but unsolved problem is how exactly the model parameters are related to the properties of the perceived transparent layer. We previously proposed a parametrization in terms of hue, saturation, overall transmittance and clarity of the filter that seems to capture important dimensions of the phenomenal impressions. However, these parameters are not independent and the corresponding scales are not perceptually uniform. Here, an invertible transformation of this parameter space is proposed that strongly mitigates these problems. This results in a more intuitively interpretable parameter set that seems well suited for the analysis of existing stimuli and the generation of transparent overlays with predefined perceptual properties. The latter property makes it suitable for graphics and visualization applications.