High dynamic range image tone mapping with edge preserved dithering

Tao Huang, Yan Liu, Tongwei Ren, Lei Huang, Jia Bei, Qin Liu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Current tone mapping technique for high dynamic range (HDR) image is limited by the gray scale of display screen. In this paper, we propose a novel tone mapping approach based on edge preserved dithering, which makes use of high resolution of display screen to breakthrough the gray scale limitation. To each HDR image, we first decompose its L* component to the ditherable patches and the unditherable patches. Then, we utilize linear programming to tone map the mean gray levels of the ditherable patches and the gray level of each pixel in the unditherable patches to an extended dynamic range. Finally, the gray levels of the tone mapped image are further narrowed to the required gray scale of display screen in which dithering is applied on ditherable patches. Experimental results show that edge preserved dithering can improve the distribution of the limited gray levels in the generated images and effectively reduce contouring and detail loss.
Original languageEnglish
Title of host publicationICIMCS 2014 - Proceedings of the 6th International Conference on Internet Multimedia Computing and Service
PublisherAssociation for Computing Machinery
Pages271-274
Number of pages4
ISBN (Print)9781450328104
DOIs
Publication statusPublished - 1 Jan 2014
Event6th International Conference on Internet Multimedia Computing and Service, ICIMCS 2014 - Xiamen, China
Duration: 10 Jul 201412 Jul 2014

Conference

Conference6th International Conference on Internet Multimedia Computing and Service, ICIMCS 2014
Country/TerritoryChina
CityXiamen
Period10/07/1412/07/14

Keywords

  • Edge preserved dithering
  • High contrast
  • High dynamic range image
  • Tone mapping

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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