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Unbiased sampling techniques for image synthesis
1991
Proceedings of the 18th annual conference on Computer graphics and interactive techniques - SIGGRAPH '91
We examine a class of adaptive sampling techniques employed in image synthesis and show that those commonly used for efficient anti-aliasing are statistically biased. This bias is dependent upon the image function being sampled as well as the strategy for determining the number of samples to use. It is most prominent in areas of high contrast and is attributable to early stages of sampling systematically favoring one extreme or the other. If the expected outcome of the entire adaptive sampling
doi:10.1145/122718.122735
dblp:conf/siggraph/KirkA91
fatcat:aj7pxno3lfdfxmc6fnpynxajse