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A Weighted Error Metric and Optimization Method for Antialiasing Patterns
Author(s) -
Laine S.,
Aila T.
Publication year - 2006
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/j.1467-8659.2006.00919.x
Subject(s) - pixel , metric (unit) , artificial intelligence , computer science , aliasing , computer vision , anti aliasing , filter (signal processing) , image (mathematics) , image quality , pattern recognition (psychology) , algorithm , digital signal processing , computer hardware , economics , audio signal , operations management , audio signal processing
Displaying a synthetic image on a computer display requires determining the colors of individual pixels. To avoid aliasing, multiple samples of the image can be taken per pixel, after which the color of a pixel may be computed as a weighted sum of the samples. The positions and weights of the samples play a major role in the resulting image quality, especially in real‐time applications where usually only a handful of samples can be afforded per pixel. This paper presents a new error metric and an optimization method for antialiasing patterns used in image reconstruction. The metric is based on comparing the pattern against a given reference reconstruction filter in spatial domain, and it takes into account psychovisually measured angle‐specific acuities for sharp features.