SMQT-based Tone Mapping Operators for High Dynamic Range Images
(2013) 8th International Conference on Computer Vision Theory and Applications (VISAPP 2013) p.61-68- 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.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/3294738
- author
- Nilsson, Mikael LU
- organization
- publishing date
- 2013
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Tone Mapping Operation, High Dynamic Range, Successive Mean Quantization Transform, Processing Speed
- host publication
- Proceedings of the International Conference on Computer Vision Theory and Applications
- pages
- 61 - 68
- publisher
- SciTePress
- conference name
- 8th International Conference on Computer Vision Theory and Applications (VISAPP 2013)
- conference location
- Barcelona, Spain
- conference dates
- 2013-02-21 - 2013-02-24
- external identifiers
-
- scopus:84878245234
- ISBN
- 978-989-8565-47-1
- DOI
- 10.5220/0004228700610068
- language
- English
- LU publication?
- yes
- additional info
- 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, 2013
- id
- 101b4901-4327-45f4-a7e2-52de4705a0a3 (old id 3294738)
- date added to LUP
- 2016-04-04 10:16:30
- date last changed
- 2022-01-29 20:04:27
@inproceedings{101b4901-4327-45f4-a7e2-52de4705a0a3, 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.}}, author = {{Nilsson, Mikael}}, booktitle = {{Proceedings of the International Conference on Computer Vision Theory and Applications}}, isbn = {{978-989-8565-47-1}}, keywords = {{Tone Mapping Operation; High Dynamic Range; Successive Mean Quantization Transform; Processing Speed}}, language = {{eng}}, pages = {{61--68}}, publisher = {{SciTePress}}, title = {{SMQT-based Tone Mapping Operators for High Dynamic Range Images}}, url = {{http://dx.doi.org/10.5220/0004228700610068}}, doi = {{10.5220/0004228700610068}}, year = {{2013}}, }