Contrast sensitivity functions (CSFs) have been typically measured under persistent adaptation to a uniform background. However, this is an unusual situation, considering that visual scenes in our daily lives are typically filled by objects of various luminance levels in a wide dynamic range. We investigated the interactions between the luminance range of textured adapting background and test luminance (luminance of an immediate surround) to see how the contrast sensitivities adapt to background luminance distributions. The background was a random array of one-dimensional lines, which had a maximum luminance range of approximately 1:520 000, and the test stimulus was a Gabor patch presented on an immediate uniform surround with various luminance levels. The carrier orientation of the Gabor patch was orthogonal to that of the background lines. In the results, the sensitivity was highest near the mean of background luminance, and the luminance range with the highest sensitivity became wider (i.e., the selectivity of sensitivity optimization weakened) as the background luminance range became larger. This sensitivity optimization was significant mainly in the lower spatial frequency. These results indicate that the overall contrast sensitivity is adjusted to the luminance range of the visual scene and the sensitivity optimization is more flexible in relatively lower spatial frequency.

中文翻译：

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亮度对比度检测针对周围的大规模亮度纹理进行了优化

对比敏感度函数 (CSF) 通常是在持续适应统一背景的情况下测量的。然而，考虑到我们日常生活中的视觉场景通常由宽动态范围内的各种亮度级别的对象填充，这是一种不寻常的情况。我们研究了纹理适应背景的亮度范围和测试亮度（直接环绕的亮度）之间的相互作用，以了解对比度灵敏度如何适应背景亮度分布。背景是一维线的随机阵列，其最大亮度范围约为 1:520 000，测试刺激是一个 Gabor 贴片，呈现在具有各种亮度级别的即时均匀环绕上。Gabor 贴片的载体方向与背景线的方向正交。结果，在背景亮度平均值附近灵敏度最高，随着背景亮度范围变大，灵敏度最高的亮度范围变宽（即灵敏度优化的选择性减弱）。这种灵敏度优化主要在较低的空间频率中显着。这些结果表明，整体对比敏感度被调整到视觉场景的亮度范围，并且在相对较低的空间频率下敏感度优化更加灵活。这种灵敏度优化主要在较低的空间频率中显着。这些结果表明，整体对比敏感度被调整到视觉场景的亮度范围，并且在相对较低的空间频率下敏感度优化更加灵活。这种灵敏度优化主要在较低的空间频率中显着。这些结果表明，整体对比敏感度被调整到视觉场景的亮度范围，并且在相对较低的空间频率下敏感度优化更加灵活。