Stochastic sampling in computer graphics
ACM Transactions on Graphics (TOG)
The aliasing problem in computer-generated shaded images
Communications of the ACM
Electronic Displays: Technology,Design,and Applications
Electronic Displays: Technology,Design,and Applications
What We Need Around Here is More Aliasing
IEEE Computer Graphics and Applications
IEEE Computer Graphics and Applications
Jagged edges: when is filtering needed?
ACM Transactions on Graphics (TOG)
Real-time shading with filtered importance sampling
EGSR'08 Proceedings of the Nineteenth Eurographics conference on Rendering
New edge-adaptive image interpolation using anisotropic Gaussian filters
Digital Signal Processing
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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.