Stochastic Sampling of Two-dimensional Images

Szirmay-Kalos László
Department of Process Control, Technical University of Budapest,
Budapest, Muegyetem rkp. 11, H-1111, HUNGARY


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.