Name
Abstract | ||
|---|---|---|
To utilize the full potential of new high dynamic range (HDR) displays, a system for the enhancement of bright luminous objects in video sequences is proposed. The system classifies clipped (saturated) regions as lights, reflections or diffuse surfaces using a semi-automatic classifier and then enhances each class of objects with respect to its relative brightness. The enhancement algorithm can significantly stretch the contrast of clipped regions while avoiding amplification of noise and contouring. We demonstrate that the enhanced video is strongly preferred to non-enhanced video, and it compares favorably to other methods. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1111/j.1467-8659.2008.01265.x | Comput. Graph. Forum |
Keywords | Field | DocType |
non-enhanced video,diffuse surface,relative brightness,full potential,new high dynamic range,enhancement algorithm,semi-automatic classifier,hdr display,enhanced video,bright video feature,bright luminous object,video sequence | Computer vision,Computer graphics (images),Computer science,Artificial intelligence,Contouring,Classifier (linguistics),High dynamic range,Brightness | Journal |
Volume | Issue | ISSN |
27 | 4 | 0167-7055 |
Citations | PageRank | References |
33 | 1.41 | 17 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Piotr Didyk | 1 | 362 | 28.72 |
| Rafal Mantiuk | 2 | 1028 | 71.60 |
| Matthias Hein | 3 | 663 | 62.80 |
| Hans-Peter Seidel | 4 | 12532 | 801.49 |