Article

Subband encoding of high dynamic range imagery

Authors:

Maryann SimmonsAuthors Info & Claims

APGV '04: Proceedings of the 1st Symposium on Applied perception in graphics and visualization

Pages 83 - 90

https://doi.org/10.1145/1012551.1012566

Published: 07 August 2004 Publication History

Abstract

The transition from traditional 24-bit RGB to high dynamic range (HDR) images is hindered by excessively large file formats with no backwards compatibility. In this paper, we propose a simple approach to HDR encoding that parallels the evolution of color television from its grayscale beginnings. A tone-mapped version of each HDR original is accompanied by restorative information carried in a subband of a standard 24-bit RGB format. This subband contains a compressed ratio image, which when multiplied by the tone-mapped foreground, recovers the HDR original. The tone-mapped image data may be compressed, permitting the composite to be delivered in a standard JPEG wrapper. To naïve software, the image looks like any other, and displays as a tone-mapped version of the original. To HDR-enabled software, the foreground image is merely a tone-mapping suggestion, as the original pixel data are available by decoding the information in the subband. We present specifics of the method and the results of encoding a series of synthetic and natural HDR images, using various published global and local tone-mapping operators to generate the foreground images. Errors are visible in only a very small percentage of the pixels after decoding, and the technique requires only a modest amount of additional space for the subband data, independent of image size.

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https://doi.org/10.3390/su10020374
Rakhmawati LWirawan Suwadi (2018)Image Privacy Protection Techniques: A SurveyTENCON 2018 - 2018 IEEE Region 10 Conference10.1109/TENCON.2018.8650339(0076-0080)Online publication date: Oct-2018
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Hatchett JDebattista KMukherjee RBashford-Rogers TChalmers A(2018)An evaluation of power transfer functions for HDR video compressionThe Visual Computer: International Journal of Computer Graphics10.1007/s00371-016-1322-034:2(167-176)Online publication date: 1-Feb-2018
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Index Terms

Subband encoding of high dynamic range imagery
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision representations
        Image representations
  2. Computer graphics
    1. Image manipulation
    2. Rendering

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Published In

cover image ACM Conferences

APGV '04: Proceedings of the 1st Symposium on Applied perception in graphics and visualization

August 2004

184 pages

ISBN:1581139144

DOI:10.1145/1012551

Conference Chairs:
Victoria Interrante
University of Minnesota
,
Ann McNamara
St. Louis University
,
Program Chairs:
Heinrich Bulthoff
Max-Planck Institute for Biological Cybernetics
,
Holly Rushmeier
Yale University

Copyright © 2004 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques

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Association for Computing Machinery

New York, NY, United States

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Published: 07 August 2004

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APGV04: ACM Symposium on Applied Perception in Graphics and Visualization 2004

August 7 - 8, 2004

California, Los Angeles, USA

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Overall Acceptance Rate 19 of 33 submissions, 58%

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Cited By

Lim HNgarambe JKim JKim G(2018)The Reality of Light Pollution: A Field Survey for the Determination of Lighting Environmental Management Zones in South KoreaSustainability10.3390/su1002037410:2(374)Online publication date: 31-Jan-2018
https://doi.org/10.3390/su10020374
Rakhmawati LWirawan Suwadi (2018)Image Privacy Protection Techniques: A SurveyTENCON 2018 - 2018 IEEE Region 10 Conference10.1109/TENCON.2018.8650339(0076-0080)Online publication date: Oct-2018
https://doi.org/10.1109/TENCON.2018.8650339
Hatchett JDebattista KMukherjee RBashford-Rogers TChalmers A(2018)An evaluation of power transfer functions for HDR video compressionThe Visual Computer: International Journal of Computer Graphics10.1007/s00371-016-1322-034:2(167-176)Online publication date: 1-Feb-2018
https://dl.acm.org/doi/10.1007/s00371-016-1322-0
Debattista K(2017)Application‐Specific Tone Mapping Via Genetic ProgrammingComputer Graphics Forum10.1111/cgf.1330737:1(439-450)Online publication date: Nov-2017
https://doi.org/10.1111/cgf.13307
Zerman EHulusic VValenzise GMantiuk RDufaux F(2017)Effect of color space on high dynamic range video compression performance2017 Ninth International Conference on Quality of Multimedia Experience (QoMEX)10.1109/QoMEX.2017.7965632(1-6)Online publication date: May-2017
https://doi.org/10.1109/QoMEX.2017.7965632
Touil MEllouze N(2017)Inverse tone mapping high dynamic range images2017 International Conference on Control, Automation and Diagnosis (ICCAD)10.1109/CADIAG.2017.8075681(338-342)Online publication date: Jan-2017
https://doi.org/10.1109/CADIAG.2017.8075681
Touil MEllouze N(2017)Inverse tone mapping high dynamic range images2017 International Conference on Advanced Systems and Electric Technologies (IC_ASET)10.1109/ASET.2017.7983678(129-133)Online publication date: Jan-2017
https://doi.org/10.1109/ASET.2017.7983678
Francois EFogg CHe YLi XLuthra ASegall A(2016)High Dynamic Range and Wide Color Gamut Video Coding in HEVC: Status and Potential Future EnhancementsIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2015.246191126:1(63-75)Online publication date: Jan-2016
https://doi.org/10.1109/TCSVT.2015.2461911
Mukherjee RDebattista KBashford-Rogers TVangorp PMantiuk RBessa MWaterfield BChalmers A(2016)Objective and subjective evaluation of High Dynamic Range video compressionImage Communication10.1016/j.image.2016.08.00147:C(426-437)Online publication date: 1-Sep-2016
https://dl.acm.org/doi/10.1016/j.image.2016.08.001
Miao DFu JLu YLi SChen C(2015)Layered compression for high-precision depth dataIEEE Transactions on Image Processing10.1109/TIP.2015.248132424:12(5492-5504)Online publication date: Dec-2015
https://doi.org/10.1109/TIP.2015.2481324
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