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Antialiasing by Gaussian Integration
May 1996 (vol. 16 no. 3)
pp. 58-63
ASCII Text
x 
 
Ning Liu, Houzhi Jin, Alyn P. Rockwood, "Antialiasing by Gaussian Integration," IEEE Computer Graphics and Applications, vol. 16, no. 3, pp. 58-63, May, 1996.
 
 
BibTex
x
 
@article{ 10.1109/38.491186,
author = {Ning Liu and Houzhi Jin and Alyn P. Rockwood},
title = {Antialiasing by Gaussian Integration},
journal ={IEEE Computer Graphics and Applications},
volume = {16},
number = {3},
issn = {0272-1716},
year = {1996},
pages = {58-63},
doi = {http://doi.ieeecomputersociety.org/10.1109/38.491186},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - IEEE Computer Graphics and Applications
TI - Antialiasing by Gaussian Integration
IS - 3
SN - 0272-1716
SP58
EP63
EPD - 58-63
A1 - Ning Liu,
A1 - Houzhi Jin,
A1 - Alyn P. Rockwood,
PY - 1996
VL - 16
JA - IEEE Computer Graphics and Applications
ER -
 
Typically, antialiasing is studied using Fourier spectrum analysis. A new conceptualization based on approximation theory is presented. Instead of viewing aliasing as a signal reconstruction problem we look at it as a general integral approximating a sampled function. With this attitude, a new method of antialiasing based on Gaussian integration is developed. Experiments show that this method may be preferrable when the number of sampling points is 9 points/pixel or more. We also show that the well-known Jittered Sampling methods are a special case of the new theory.

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Citation:
Ning Liu, Houzhi Jin, Alyn P. Rockwood, "Antialiasing by Gaussian Integration," IEEE Computer Graphics and Applications, vol. 16, no. 3, pp. 58-63, May 1996, doi:10.1109/38.491186
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