Name
Abstract | ||
|---|---|---|
We present a novel image representation method based on shift-invariant spaces. Unlike existing rendering methods, our proposed approach consists of two steps: an analog acquisition step that traces rays through the scene, and a subsequent digital processing step that filters the intermediate digital image to obtain the coefficients of a minimum-error continuous image approximation. Our approach can be easily incorporated in existing renderers with very little change and with little-to-no computational overhead. Additionally, we introduce the necessary tools needed to analyze the smoothing and post-aliasing properties of the minimum-error approximations. We provide examples of spaces --- generated by the uniform B-splines --- that can be readily used in conjunction with the two-dimensional Cartesian grid. Our experimental results demonstrate that minimum-error approximations significantly enhance image quality by preserving high-frequency details that are usually smoothed out by existing image anti-aliasing approaches. |
Year | Venue | Keywords |
|---|---|---|
2013 | Graphics Interface 2012 | analog acquisition step,novel image representation method,shift-invariant space,intermediate digital image,image quality,minimum-error approximation,subsequent digital processing step,high-frequency detail,minimum-error continuous image approximation |
Field | DocType | Citations |
Overhead (computing),Computer vision,Regular grid,Computer science,Image representation,Image quality,Digital image,Smoothing,Artificial intelligence,Invariant (mathematics),Rendering (computer graphics) | Conference | 0 |
PageRank | References | Authors |
0.34 | 21 | 1 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Usman R. Alim | 1 | 36 | 6.09 |