Stochastic sampling is a special anti-aliasing technique that originated
in signal theory examining functions of one variable (time). However, in
computer graphics two-dimensional images are sampled instead of one dimensional
signals, thus the original results must be extended to two-dimensional
space. This extension can provide better understanding of the application
of stochastic sampling in
computer graphics and can lead to new methods which have no one-dimensional counterpart. In this paper a two-dimensional adaptive filtering technique is discussed, which can eliminate aliasing artifacts without introducing two much noise in the resulting image
Stochastic sampling, jitter, filtering, anti-aliasing.