In statistics, signal processing and related disciplines, aliasing is an effect that causes different continuous signals to become indistinguishable (or aliases of one another) when sampled. When this happens, the original signal cannot be uniquely reconstructed from the sampled signal.

Plot showing aliasing of an undersampled 1D sinusoidal signal. The blue dots are the digital samples taken to record the red signal. Clearly, they are not enough to reconstruct the original signal: from then on, only the blue, wrong signal can be interpolated.

Aliasing can take place either in time, temporal aliasing, or in space, spatial aliasing. It may give rise to moiré patterns (when the original image is finely textured) or jagged outlines (when the original has sharp contrasting edges, e.g. screen fonts). (Wikipedia(external link)).

Image Aliased image.

See more examples in Anti Aliasing.
See also Critical Sampling Distance and Nyquist Rate.

Follow us

Upcoming Events

1)  Fri 27 of Mar., 2015 09:00 CET
Huygens imaging course at EMBL Heidelberg
2)  Sun 29 of Mar., 2015 12:21 CEST
SVI at FOM 2015 Goettingen, Germany
3)  Thu 23 of Apr., 2015 09:00 CEST
Huygens imaging course April 2015
4)  Tue 19 of May, 2015 11:59 CEST
Huygens Workshops and Booth at ELMI 2015 Sitges, Barcelona
5)  Wed 10 of June, 2015 15:11 CEST
SVI at Advanced Microscopy and Vital Imaging Maastricht
6)  Tue 01 of Sep., 2015 15:21 CEST
Huygens imaging course September 2015

Contact Information

Scientific Volume Imaging B.V.

Laapersveld 63
1213 VB Hilversum
The Netherlands

Phone: +31 (0)35 64216 26
E-mail: info at svi.nl