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Complexities of Complex Contrast

机译:复杂对比的复杂性

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摘要

For the visual system, luminance contrast is a fundamental property of images, and is one of the main inputs of any simulation of visual processing. Many models intended to evaluate visual properties such as image discriminability compute perceived contrast by using contrast sensitivity functions derived from studies of human spatial vision. Such use is of questionable validity even for such applications (i.e. full-reference image quality metrics), but it is usually inappropriate for no-reference image quality measures. In this paper, we outline why the contrast sensitivity functions commonly used are not appropriate in such applications, and why weighting suprathreshold contrasts by any sensitivity function can be misleading. We propose that rather than weighting image contrasts (or contrast differences) by some assumed sensitivity function, it would be more useful for most purposes requiring estimates of perceived contrast or quality to develop an estimate of efficiency: how much of an image is making it past the relevant thresholds.
机译:对于视觉系统,亮度对比度是图像的基本属性,并且是任何视觉处理模拟的主要输入之一。许多旨在评估视觉属性(例如图像可分辨性)的模型通过使用从人类空间视觉研究得出的对比度敏感度函数来计算感知的对比度。即使对于这样的应用(即全参考图像质量度量),这种使用也具有可疑的有效性,但是对于无参考图像质量度量通常是不合适的。在本文中,我们概述了为什么通常使用的对比敏感度函数不适用于此类应用,以及为什么通过任何敏感度函数对阈值之上的对比度进行加权会产生误导。我们建议,与其通过某些假定的敏感度函数加权图像对比度(或对比度差异),不如将其用于大多数需要对感知对比度或质量进行估算以得出效率估算的目的,这将更为有用:相关阈值。

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