Abstract
Computer graphics as well as related disciplines often benefit fromunderstanding the human visual system and its input. In this paper, we study statistical regularities of both conventional as well ashigh dynamic range images, and find that several commonly heldwisdoms regarding natural image statistics do not directly apply tohigh dynamic range data. These results have implications for boththe study of human vision, as well as for the design of algorithms incomputer graphics and computer vision that rely on such statistical regularities.
| Translated title of the contribution | Statistical Regularities in Low and High Dynamic Range Images |
|---|---|
| Original language | English |
| Title of host publication | ACM Symposium on Applied Perception in Graphics and Visualization (APGV) |
| Publication status | Published - 2010 |
Publication series
| Name | APGV - Symposium on Applied Perception in Graphics and Visualization |
|---|---|
| ISSN (Print) | 2159-5402 |
Bibliographical note
Other page information: -Conference Proceedings/Title of Journal: ACM Symposium on Applied Perception in Graphics and Visualization (APGV)
Other identifier: 2001279