An adaptive tone mapping algorithm for high dynamic range images

Jian Zhang, Sei Ichro Kamata

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Real world scenes contain a large range of light intensities which range from dim starlight to bright sunlight. A common task of tone mapping algorithms is to reproduce high dynamic range(HDR) images on low dynamic range(LDR) display devices such as printers and monitors. In this paper, a new tone mapping algorithm is proposed for the display of HDR images. Inspired by the adaptive process of the human visual system, the proposed algorithm utilized the center-surround Retinex processing. The novelty of our method is that the local details are enhanced according to a non-linear adaptive spatial filter (Gaussian filter), whose shape is adapted to high-contrast edges of the image. The proposed method uses an adaptive surround instead of the traditional pre-defined circular. Therefore, the algorithm can preserve visibility and contrast impression of high dynamic range scenes in the common display devices. The proposed method is tested on a variety of HDR images, and we also compare it to previous work. The results show good performance of our method in terms of visual quality.

Original languageEnglish
Title of host publicationComputational Color Imaging - Second International Workshop, CCIW 2009, Revised Selected Papers
Pages207-215
Number of pages9
DOIs
Publication statusPublished - 2009 Sep 18
Event2nd International Workshop on Computational Color Imaging, CCIW 2009 - Saint-Etienne, France
Duration: 2009 Mar 262009 Mar 27

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5646 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd International Workshop on Computational Color Imaging, CCIW 2009
CountryFrance
CitySaint-Etienne
Period09/3/2609/3/27

Keywords

  • Gaussian filter
  • High dynamic range
  • Hilbert scan
  • Retinex
  • Tone mapping

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Zhang, J., & Kamata, S. I. (2009). An adaptive tone mapping algorithm for high dynamic range images. In Computational Color Imaging - Second International Workshop, CCIW 2009, Revised Selected Papers (pp. 207-215). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5646 LNCS). https://doi.org/10.1007/978-3-642-03265-3_22