Name
Abstract | ||
|---|---|---|
The antialiasing method presented is based on Gaussian integration rather than Fourier spectrum analysis; it views aliasing as a general integral approximating a sampled function instead of a signal reconstruction problem. In this way, we can use classical numerical analysis to study the problem |
Year | DOI | Venue |
|---|---|---|
1996 | 10.1109/38.491186 | IEEE Computer Graphics and Applications |
Keywords | Field | DocType |
signal reconstruction problem,antialiasing method,antialiasing,gaussian integration,sampled function,well-known jittered sampling method,integration,approximation theory,sampling point,special case,general integral,signal reconstruction,new conceptualization,fourier spectrum analysis,new theory,new method,classical numerical analysis,spectrum analysis,algorithm design and analysis,wave functions,hardware,numerical analysis,frequency domain analysis,fourier transforms,image reconstruction,phosphors | Iterative reconstruction,Computer vision,Computer science,Aliasing,Artificial intelligence,Fourier spectrum,Gaussian integral,Numerical analysis,Gaussian function,Signal reconstruction | Journal |
Volume | Issue | ISSN |
16 | 3 | 0272-1716 |
Citations | PageRank | References |
9 | 0.66 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ning Liu | 1 | 31 | 8.96 |
| Houzhi Jin | 2 | 9 | 0.66 |
| Alyn Rockwood | 3 | 950 | 179.19 |