Abstract
A method for capturing high intensity dynamic range scenes with a low dynamic range camera consists in taking a series of images with different exposure settings and combining these into a single high dynamic range image. The combined image values are found by weighted averaging of values from the differently exposed images on a per-pixel basis. This paper reviews existing weighting schemes and considers their noise properties. Furthermore, a minimum-variance solution is introduced which exploits a camera noise model. Special emphasis is on the case when the camera is linear. A method is given for estimating the uncertainty of the combined image values. The results are validated experimentally.
| Original language | English |
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| Title of host publication | British Machine Vision Conference 2006 |
| Editors | M. J. Chantler, E. Trucco, R. B. Fisher |
| Number of pages | 10 |
| Volume | 3 |
| Publisher | British Machine Vision Association |
| Publication date | 2006 |
| Pages | 1129-1138 |
| ISBN (Print) | 1904410146 |
| Publication status | Published - 2006 |
| Event | BMVC 2006 - Edinburgh, United Kingdom Duration: 4 Sept 2006 → 7 Sept 2006 |
Conference
| Conference | BMVC 2006 |
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| Country/Territory | United Kingdom |
| City | Edinburgh |
| Period | 04/09/2006 → 07/09/2006 |