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SMQT-based Tone Mapping Operators for High Dynamic Range Images

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Author

Summary, in English

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.

Department/s

Publishing year

2013

Language

English

Pages

61-68

Publication/Series

Proceedings of the International Conference on Computer Vision Theory and Applications

Document type

Conference paper

Publisher

SciTePress

Topic

  • Computer Vision and Robotics (Autonomous Systems)
  • Mathematics

Keywords

  • Tone Mapping Operation
  • High Dynamic Range
  • Successive Mean Quantization Transform
  • Processing Speed

Conference name

8th International Conference on Computer Vision Theory and Applications (VISAPP 2013)

Conference date

2013-02-21 - 2013-02-24

Conference place

Barcelona, Spain

Status

Published

Research group

  • Mathematical Imaging Group

ISBN/ISSN/Other

  • ISBN: 978-989-8565-47-1