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Unsupervised learning of dependencies between local luminance and contrast in natural images

机译:无监督在自然图像中局部亮度与对比之间的依赖关系

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Separate processing of local luminance and contrast in biological visual systems has been argued to be due to the independence of these two properties in natural image data. In this paper we examine spatial, retinotopic channels formed by these two quantities and use Independent Component Analysis to study the possible dependencies between the channels. As a result, oriented, localized bandpass filter pairs are learned, where one filter processes the luminance channel and the other the contrast channel. We study the relationship of the learned filters and their pairings, and show that these are due to dependencies existing between local luminance and contrast. Subsequently, our results suggest that the separate processing of local luminance and contrast can not be attributed to their independence in natural images.
机译:已经认为,生物视觉系统中的局部亮度和对比度的单独处理是由于这两个性质在自然图像数据中的独立性。在本文中,我们检查通过这两种数量形成的空间,视网膜运动通道,并使用独立的分量分析来研究通道之间可能的依赖性。结果,学习定向的局部带通滤波器对,其中一个滤波器处理亮度信道和另一个对比度信道。我们研究了学习过滤器及其配对的关系,并表明这些是由于局部亮度和对比度之间存在的依赖性。随后,我们的结果表明,单独处理局部亮度和对比度不能归因于它们在自然图像中的独立性。

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