Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

SMQT-based Tone Mapping Operators for High Dynamic Range Images

Nilsson, Mikael LU (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:
author
organization
publishing date
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}},
}