Abstract
In this paper, tone mapping operations based on the nonlinear successive Mean Quantization Transform (SMQT) are proposed in order to convert high dynamic range images to low dynamic range images. A SMQTbased tone mapping applied on the luminance channel is derived as well as a SMQT-based method working directly on all RGB channels. Both methods are compared to other state-of-the-art methods and produce visually similar results. The processing speeds of the SMQT-based methods are discussed and found to be some of the fastest reported on a single CPU. Furthermore, additional improvement regarding the processing speed and its impact on image quality is investigated.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the International Conference on Computer Vision Theory and Applications |
| Publisher | SciTePress |
| Pages | 61-68 |
| ISBN (Print) | 978-989-8565-47-1 |
| DOIs | |
| Publication status | Published - 2013 |
| Event | 8th International Conference on Computer Vision Theory and Applications (VISAPP 2013) - Barcelona, Spain Duration: 2013 Feb 21 → 2013 Feb 24 |
Conference
| Conference | 8th International Conference on Computer Vision Theory and Applications (VISAPP 2013) |
|---|---|
| Country/Territory | Spain |
| City | Barcelona |
| Period | 2013/02/21 → 2013/02/24 |
Bibliographical note
VISAPP 2013 was held as a part of VISIGRAP 2013, the 8th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Barcelona, Spain, 21-24 February, 2013Subject classification (UKÄ)
- Computer graphics and computer vision
- Mathematical Sciences
Free keywords
- Tone Mapping Operation
- High Dynamic Range
- Successive Mean Quantization Transform
- Processing Speed