Texture information plays a critical role in the rapid perception of scenes, objects, and materials. Here, we propose a novel model in which visual texture perception is essentially determined by the 1st-order (luminance) and 2nd-order (energy) spectra. This model is an extension of the Filter-Rectify-Filter model, and it also corresponds to the frequency representation of the Portilla-Simoncelli statistics. We show that preserving two spectra and randomizing phases of a natural texture image result in a perceptually similar texture, strongly supporting the model. Based on only two single spectral spaces, this model provides a simpler framework to describe and predict texture representations in the primate visual system. The idea of multi-order spectral analysis is consistent with the hierarchical processing principle of the visual cortex, which is approximated by a multi-layer convolutional network.

中文翻译：

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作为多阶光谱分析的人体纹理视觉

纹理信息在场景、物体和材料的快速感知中起着至关重要的作用。在这里，我们提出了一种新模型，其中视觉纹理感知基本上由一阶（亮度）和二阶（能量）光谱决定。该模型是Filter-Rectify-Filter模型的扩展，也对应Portilla-Simoncelli统计量的频率表示。我们表明，保留自然纹理图像的两个光谱和随机化阶段会产生感知上相似的纹理，强烈支持该模型。该模型仅基于两个单一光谱空间，提供了一个更简单的框架来描述和预测灵长类视觉系统中的纹理表示。多阶谱分析的思想与视觉皮层的分层处理原理一致，