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Relative brightness in natural images can be accounted for by removing blurry content

机译:可以通过消除模糊内容来解决自然图像中的相对亮度

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摘要

One critical question regarding visual cognition concerns how the physical properties of the visual world are represented in early vision and then relayed to high-level vision. Here, we posit a simple theory: Processes that encode object appearance reduce their response to spatial content that is coarser than the size of the attended object. We show that a filtering procedure based on this theory can account for the relative brightness levels of test patches placed in images of natural scenes and for many hard-to-explain brightness illusions. The implication is that the perception of brightness differences in most brightness illusions actually corresponds to physical differences present in the images. Portions of the visual system may encode these physical differences by means of neural processes that adaptively reduce their response to low-spatial-frequency content.
机译:关于视觉认知的一个关键问题涉及视觉世界的物理特性如何在早期视觉中表现出来,然后传递到高级视觉中。在这里,我们提出一个简单的理论:对对象外观进行编码的过程会减少其对空间内容的响应,该空间内容比参与对象的大小更粗糙。我们表明,基于该理论的滤波过程可以说明放置在自然场景图像中的测试色块的相对亮度水平,并且可以解释许多难以解释的亮度错觉。这意味着大多数亮度幻觉中对亮度差异的感知实际上对应于图像中存在的物理差异。视觉系统的某些部分可以通过神经过程对这些物理差异进行编码,这些过程会自适应地减少其对低空间频率内容的响应。

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