Nowadays, high dynamic range imaging techniques are often applied for outdoor applications that may encounter scenes with an extremely high dynamic range. In such scenes, a halo can be produced by gradient reversal, and color information is easily damaged. In this paper, we propose an exposure fusion algorithm that does not suffer from any artifacts in extremely high dynamic range scenes. Using the HSV color model, gradient reversal is suppressed in the Value component, and color information is preserved in the other components. Experimental results show that these two artifacts are effectively avoided, and all of the scene's details are preserved.
|Title of host publication||IWSSIP 2016 - Proceedings of the 23rd International Conference on Systems, Signals and Image Processing|
|Editors||Renata Rybarova, Gregor Rozinaj, Ivan Minarik, Peter Truchly|
|Publisher||IEEE Computer Society|
|Publication status||Published - 2016 Jun 30|
|Event||23rd International Conference on Systems, Signals and Image Processing, IWSSIP 2016 - Bratislava, Slovakia|
Duration: 2016 May 23 → 2016 May 25
|Name||International Conference on Systems, Signals, and Image Processing|
|Other||23rd International Conference on Systems, Signals and Image Processing, IWSSIP 2016|
|Period||16/5/23 → 16/5/25|
Bibliographical notePublisher Copyright:
© 2016 IEEE.
All Science Journal Classification (ASJC) codes
- Artificial Intelligence
- Computer Networks and Communications
- Signal Processing