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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Pardo, A. Sapiro, G. |
| Copyright Year | 1992 |
| Abstract | A novel paradigm for information visualization in high dynamic range images is presented in this paper. These images, real or synthetic, have luminance with typical ranges many orders of magnitude higher than that of standard output/viewing devices, thereby requiring some processing for their visualization. In contrast with existent approaches, which compute a single image with reduced range, close in a given sense to the original data, we propose to look for a representative set of images. The goal is then to produce a minimal set of images capturing the information all over the high dynamic range data, while at the same time preserving a natural appearance for each one of the images in the set. A specific algorithm that achieves this goal is presented and tested on natural and synthetic data. |
| Sponsorship | IEEE Signal Processing Society |
| Starting Page | 639 |
| Ending Page | 647 |
| Page Count | 9 |
| File Size | 1138768 |
| File Format | |
| ISSN | 10577149 |
| Volume Number | 12 |
| Issue Number | 6 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2003-06-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Dynamic range Layout Data visualization Computer graphics Application software Engineering profession Testing Image sensors Terminology Eyes |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Graphics and Computer-Aided Design Software |
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