A Fresh Look at Generalized Sampling
Seiten
2014
now publishers Inc (Verlag)
978-1-60198-728-0 (ISBN)
now publishers Inc (Verlag)
978-1-60198-728-0 (ISBN)
Broadly summarises the key aspects of generalized sampling, and delves into specific applications in graphics. Using new notation, this book concisely presents and extends several key techniques. In addition, it demonstrates benefits for prefiltering in image downscaling and supersample-based rendering.
Discretization and reconstruction are fundamental operations in computer graphics, enabling the conversion between sampled and continuous representations. Major advances in signal processing research have shown that such operations can often be performed more efficiently by decomposing a filter into two parts: a compactly-supported continuous-domain function and a digital filter. This strategy of ""generalized sampling"" has appeared in a few graphics papers, but is largely unexplored within the computer graphics community.
A Fresh Look at Generalized Sampling broadly summarizes the key aspects of generalized sampling, and delves into specific applications in graphics. Using new notation, it concisely presents and extends several key techniques. In addition, it demonstrates benefits for prefiltering in image downscaling and supersample-based rendering, and presents an analysis of the associated variance reduction.
It concludes with a qualitative and quantitative comparison of traditional and generalized filters. This is an ideal primer for graphics researchers interested in generalized sampling methods and how they might apply them.
Discretization and reconstruction are fundamental operations in computer graphics, enabling the conversion between sampled and continuous representations. Major advances in signal processing research have shown that such operations can often be performed more efficiently by decomposing a filter into two parts: a compactly-supported continuous-domain function and a digital filter. This strategy of ""generalized sampling"" has appeared in a few graphics papers, but is largely unexplored within the computer graphics community.
A Fresh Look at Generalized Sampling broadly summarizes the key aspects of generalized sampling, and delves into specific applications in graphics. Using new notation, it concisely presents and extends several key techniques. In addition, it demonstrates benefits for prefiltering in image downscaling and supersample-based rendering, and presents an analysis of the associated variance reduction.
It concludes with a qualitative and quantitative comparison of traditional and generalized filters. This is an ideal primer for graphics researchers interested in generalized sampling methods and how they might apply them.
1: Introduction 2: Background 3: Basic Notation, Definitions, and Properties 4: Fundamental Algorithms 5: Translation and Scaling 6: Approximation of Derivatives 7: Generalized Prefiltering and its Variance 8: Theoretical Considerations 9: Practical Considerations 10: Experiments and Analyses 11: Conclusions. A. Source-code. References
| Reihe/Serie | Foundations and Trends® in Computer Graphics and Vision |
|---|---|
| Verlagsort | Hanover |
| Sprache | englisch |
| Maße | 156 x 234 mm |
| Gewicht | 156 g |
| Themenwelt | Informatik ► Software Entwicklung ► Spieleprogrammierung |
| ISBN-10 | 1-60198-728-5 / 1601987285 |
| ISBN-13 | 978-1-60198-728-0 / 9781601987280 |
| Zustand | Neuware |
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