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Is the straddle effect in contrast perception limited to second-order spatial vision?

机译:对比感知中的跨骑效应是否仅限于二阶空间视觉?

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摘要

Previous work on the straddle effect in contrast perception (Foley, ; Graham & Wolfson, ; Wolfson & Graham, , ) has used visual patterns and observer tasks of the type known as spatially second-order. After adaptation of about 1 s to a grid of Gabor patches all at one contrast, a second-order test pattern composed of two different test contrasts can be easy or difficult to perceive correctly. When the two test contrasts are both a bit less (or both a bit greater) than the adapt contrast, observers perform very well. However, when the two test contrasts straddle the adapt contrast (i.e., one of the test contrasts is greater than the adapt contrast and the other is less), performance drops dramatically. To explain this drop in performance—the straddle effect—we have suggested a contrast-comparison process. We began to wonder: Are second-order patterns necessary for the straddle effect? Here we show that the answer is “no”. We demonstrate the straddle effect using spatially first-order visual patterns and several different observer tasks. We also see the effect of contrast normalization using first-order visual patterns here, analogous to our prior findings with second-order visual patterns. We did find one difference between first- and second-order tasks: Performance in the first-order tasks was slightly lower. This slightly lower performance may be due to slightly greater memory load. For many visual scenes, the important quantity in human contrast processing may not be monotonic with physical contrast but may be something more like the unsigned difference between current contrast and recent average contrast.
机译:先前关于对比度感知的跨骑效应的工作(Foley,Graham&Wolfson,Wolfson&Graham ,,)使用了视觉模式和被称为空间二阶类型的观察者任务。在一次对比度完全适应Gabor网格的网格约1 s之后,由两个不同的测试对比度组成的二阶测试模式可能容易或难以正确感知。当两个测试对比都比适应对比小(或都大一点)时,观察者的表现非常好。但是,当两个测试对比度跨过自适应对比度时(即,一个测试对比度大于自适应对比度,而另一个则小于),性能会急剧下降。为了解释这种性能下降(跨骑效应),我们提出了一个对比对比过程。我们开始怀疑:跨步效应是否需要二阶模式?在这里,我们表明答案是“否”。我们使用空间一阶视觉模式和几个不同的观察者任务演示跨骑效果。在这里,我们还看到了使用一阶视觉模式进行对比度归一化的效果,类似于我们先前对二阶视觉模式的发现。我们确实发现一阶任务和二阶任务之间的区别:一阶任务的性能略低。性能稍低的原因可能是内存负载稍大。对于许多视觉场景而言,人类对比度处理中的重要量可能与物理对比度不是单调的,而是可能更像当前对比度与最近平均对比度之间的无符号差异。

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