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SMQT-based Tone Mapping Operators for High Dynamic Range Images

In English

Författare

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.

Avdelning/ar

Publiceringsår

2013

Språk

Engelska

Sidor

61-68

Publikation/Tidskrift/Serie

Proceedings of the International Conference on Computer Vision Theory and Applications

Dokumenttyp

Konferensbidrag

Förlag

SciTePress

Ämne

  • Computer Vision and Robotics (Autonomous Systems)
  • Mathematics

Nyckelord

  • 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

Forskningsgrupp

  • Mathematical Imaging Group

ISBN/ISSN/Övrigt

  • ISBN: 978-989-8565-47-1