Antialiasing through stochastic sampling
Antialiasing through stochastic sampling
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DOI：
10.1145/325334.325182
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发表时间：
1985-07
期刊：
影响因子：
--
通讯作者：
Mark A. Z. Dippé;E. Wold
中科院分区：
文献类型：
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作者：
Mark A. Z. Dippé;E. Wold
发展和分析了随机抽样技术，特别是泊松抽样和滤波抽样。这些方法允许使用离散计算来构造连续函数的无混叠近似。随机采样将高频信息分散到宽带噪声中，而不是产生规则采样产生的虚假图案。采样过程中使用的随机性类型控制噪声的频谱特性。平均采样率和被采样的函数决定了产生的噪声量。自适应地应用随机抽样，以便在函数变化最大的地方采集更多的样本。估计值用于确定在给定区域内需要采集多少样本。降噪滤波器用于提高给定采样率的效率。滤光片宽度自适应控制，进一步提高了性能。随机采样可以在时空上应用，也可以应用于场景模拟的其他方面。光线跟踪是可以通过随机采样来抗锯齿的图像合成方法的一个例子。
Stochastic sampling techniques, in particular Poisson and fittered sampling, are developed and analyzed. These approaches allow the construction of alias-free approximations to continuous functions using discrete calculations. Stochastic sampling scatters high frequency information into broadband noise rather than generating the false patterne produced by regular sampling. The type of randomness used in the sampling process controls the spectral character of the noise. The average sampling rate and the function being sampled determine the amount of noise that is produced. Stochastic sampling is applied adaptively so that a greater number of samples are taken where the function varies most. An estimate is used to determine how many samples to take over a given region. Noise reducing filters are used to increase the efficacy of a given sampling rate. The filter width is adaptively controlled to further improve performance. Stochastic sampling can be applied spatiotemporally as well as to other aspects of scene simulation. Ray tracing is one example of an image synthesis approach that can be antialiased by stochastic sampling.