A statistical derivation of an automatic tone mapping algorithm for wide dynamic range display

Alain Hore, Orly Yadid-Pecht

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

In this paper, we present a modified tone mapping algorithm for displaying wide dynamic range images with good brightness. Our algorithm embeds an automatic computation of the key parameter controlling the brightness of tone mapped images, which make use of statistical analysis of WDR images. This enables to prevent unnecessary or cumbersome manual tuning of parameters as often found in tone mapping algorithms. Experimental results performed on different WDR images show that we are able to get images which are visually pleasant and which have good brightness and contrast. The good performance of our algorithm is also confirmed numerically through the use of the tone mapping quality index (TMQI), an objective image quality measure.

Original languageEnglish
Title of host publication2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2475-2479
Number of pages5
ISBN (Print)9781479928927
DOIs
StatePublished - 1 Jan 2014
Externally publishedYes
Event2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014 - Florence, Italy
Duration: 4 May 20149 May 2014

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Conference

Conference2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
Country/TerritoryItaly
CityFlorence
Period4/05/149/05/14

Keywords

  • Wide dynamic range images
  • automatic parameterization
  • curve fitting
  • tone mapping

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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