Probability Models for Clutter in Natural Images
Probability Models for Clutter in Natural Images
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DOI：
10.1109/34.917579
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发表时间：
2001-04
期刊：
影响因子：
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通讯作者：
U. Grenander;Anuj Srivastava
中科院分区：
文献类型：
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作者：
U. Grenander;Anuj Srivastava
我们提出了一个框架，在自然图像中的杂波建模。假设：1）图像由3D（真实的）物体的2D（投影）视图组成，2）在一定的简化条件下，我们导出了自然图像的解析密度。该表达式与观察到的密度（直方图）匹配良好。除了导出多维密度，还提出了几个扩展。
We propose a framework for modeling clutter in natural images. Assuming that: 1) images are made up of 2D (projected) views of 3D (real) objects and 2) certain simplifying conditions hold, we derive an analytical density for natural images. This expression is shown to match well with the observed densities (histograms). In addition to deriving multidimensional densities, several extensions are also proposed.