First- and second-order information in natural images: a filter-based approach to image statistics
First- and second-order information in natural images: a filter-based approach to image statistics
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DOI：
10.1364/josaa.21.000913
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发表时间：
2004-06-01
影响因子：
1.9
通讯作者：
Baker, CL
中科院分区：
文献类型：
--
作者：
Johnson, AP;Baker, CL
以前对自然图像统计的分析主要涉及它们的傅里叶功率谱。在这里，我们通过检查生物激励的滤光片的响应来探索图像统计，这些滤光片在空间上是局部化的，并且响应一阶(亮度定义)和二阶(对比度或纹理定义)特征。对于一阶和二阶信息，我们比较了自然图像响应在滤波参数上的分布。我们发现，自然场景中的二阶信息表现出与先前描述的一阶信息相同的自相似性，但其方向各向异性要小得多。在自然图像中，对于特定的滤波参数组合，这两种信息的大小及其相互无符号相关性要强得多，而在具有相同功率谱的非结构分形图像中则不是这样。(C)2004年美国光学学会。
Previous analyses of natural image statistics have dealt mainly with their Fourier power spectra. Here we explore image statistics by examining responses to biologically motivated filters that are spatially localized and respond to first-order (luminance-defined) and second-order (contrast- or texture-defined) characteristics. We compare the distribution of natural image responses across filter parameters for first- and second-order information. We find that second-order information in natural scenes shows the same self-similarity previously described for first-order information but has substantially less orientational anisotropy. The magnitudes of the two kinds of information, as well as their mutual unsigned correlation, are much stronger for particular combinations of filter parameters in natural images but not in unstructured fractal images having the same power spectra. (C) 2004 Optical Society of America.