High dynamic range scene realization using two complementary images

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

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

2 Citations (Scopus)

Abstract

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
Pages261-270
Number of pages10
EditionPART 1
Publication statusPublished - 2007 Dec 1
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

Other

Other8th Asian Conference on Computer Vision, ACCV 2007
CountryJapan
CityTokyo
Period07-11-1807-11-22

Fingerprint

High Dynamic Range
Color
Luminance
Pixels
Pixel
Electric fuses
Module
Range Image
Erosion
Fusion reactions
Fusion
Radius
Computing
Range of data

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Sung, M. C., Wang, T. H., & Lien, J. J-J. (2007). High dynamic range scene realization using two complementary images. In Computer Vision - ACCV 2007 - 8th Asian Conference on Computer Vision, Proceedings (PART 1 ed., pp. 261-270). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4843 LNCS, No. PART 1).
Sung, Ming Chian ; Wang, Te Hsun ; Lien, James Jenn-Jier. / High dynamic range scene realization using two complementary images. Computer Vision - ACCV 2007 - 8th Asian Conference on Computer Vision, Proceedings. PART 1. ed. 2007. pp. 261-270 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).
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Sung, MC, Wang, TH & Lien, JJ-J 2007, High dynamic range scene realization using two complementary images. in Computer Vision - ACCV 2007 - 8th Asian Conference on Computer Vision, Proceedings. PART 1 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 4843 LNCS, pp. 261-270, 8th Asian Conference on Computer Vision, ACCV 2007, Tokyo, Japan, 07-11-18.

High dynamic range scene realization using two complementary images. / Sung, Ming Chian; Wang, Te Hsun; Lien, James Jenn-Jier.

Computer Vision - ACCV 2007 - 8th Asian Conference on Computer Vision, Proceedings. PART 1. ed. 2007. p. 261-270 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4843 LNCS, No. PART 1).

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

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Sung MC, Wang TH, Lien JJ-J. High dynamic range scene realization using two complementary images. In Computer Vision - ACCV 2007 - 8th Asian Conference on Computer Vision, Proceedings. PART 1 ed. 2007. p. 261-270. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).