Natural image statistics for computer graphics
作者： Tom Troscianko , Peter Shirley , Erik Reinhard
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摘要: The class of all natural images is an infinitely small fraction possible images. structure can be statistically modeled, revealing striking regularities. human visual system appears to optimized view images, as opposed any image, and therefore expects interpret which conform these statistics. Research has shown that do not behave are harder for the interpret. This paper reviews statistics implications computer graphics in general assessed. We argue important applications finally, we provide a direct application findings random subdivision terrain modeling.
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