High dynamic range scene realization using two complementary images

Ming Chian Sung, Te Hsun Wang, Jenn Jier James Lien

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

2 Citations (Scopus)


Many existing tone reproduction schemes are based on the use of a single high dynamic range (HDR) image and are therefore unable to accurately recover the local details and colors of the scene due to the limited information available. Accordingly, the current study develops a novel tone reproduction system which utilizes two images with different exposures to capture both the local details and color information of the low- and high-luminance regions of a scene. By computing the local region of each pixel, whose radius is determined via an iterative morphological erosion process, the proposed system implements a pixel-wise local tone mapping module which compresses the luminance range and enhances the local contrast in the low-exposure image. And a local color mapping module is applied to capture the precise color information from the high-exposure image. Subsequently, a fusion process is then performed to fuse the local tone mapping and color mapping results to generate highly realistic reproductions of HDR scenes.

Original languageEnglish
Title of host publicationComputer Vision - ACCV 2007 - 8th Asian Conference on Computer Vision, Proceedings
PublisherSpringer Verlag
Number of pages10
EditionPART 1
ISBN (Print)9783540763857
Publication statusPublished - 2007
Event8th Asian Conference on Computer Vision, ACCV 2007 - Tokyo, Japan
Duration: 2007 Nov 182007 Nov 22

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume4843 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other8th Asian Conference on Computer Vision, ACCV 2007

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)


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