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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) In [Host publication title missing]
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
in press
subject
keywords
Tone Mapping Operation, High Dynamic Range, Successive Mean Quantization Transform, Processing Speed
in
[Host publication title missing]
pages
8 pages
publisher
SciTePress
conference name
8th International Conference on Computer Vision Theory and Applications (VISAPP 2013)
DOI
10.5220/0004228700610068
language
English
LU publication?
yes
id
101b4901-4327-45f4-a7e2-52de4705a0a3 (old id 3294738)
date added to LUP
2013-05-17 17:26:27
date last changed
2016-04-16 07:41:38
@misc{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},
  keyword      = {Tone Mapping Operation,High Dynamic Range,Successive Mean Quantization Transform,Processing Speed},
  language     = {eng},
  pages        = {8},
  publisher    = {ARRAY(0x980e918)},
  series       = {[Host publication title missing]},
  title        = {SMQT-based Tone Mapping Operators for High Dynamic Range Images},
  url          = {http://dx.doi.org/10.5220/0004228700610068},
  year         = {2013},
}