research-article

Calibrated image appearance reproduction

Authors:

Anders Ballestad,

Gerwin DambergAuthors Info & Claims

ACM Transactions on Graphics (TOG), Volume 31, Issue 6

Article No.: 201, Pages 1 - 11

https://doi.org/10.1145/2366145.2366220

Published: 01 November 2012 Publication History

Abstract

Managing the appearance of images across different display environments is a difficult problem, exacerbated by the proliferation of high dynamic range imaging technologies. Tone reproduction is often limited to luminance adjustment and is rarely calibrated against psychophysical data, while color appearance modeling addresses color reproduction in a calibrated manner, albeit over a limited luminance range. Only a few image appearance models bridge the gap, borrowing ideas from both areas. Our take on scene reproduction reduces computational complexity with respect to the state-of-the-art, and adds a spatially varying model of lightness perception. The predictive capabilities of the model are validated against all psychophysical data known to us, and visual comparisons show accurate and robust reproduction for challenging high dynamic range scenes.

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Cited By

Venkataramanan ABovik A(2024)Subjective Quality Assessment of Compressed Tone-Mapped High Dynamic Range VideosIEEE Transactions on Image Processing10.1109/TIP.2024.346341833(5440-5455)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TIP.2024.3463418
Cao CYue HLiu XYang J(2024)Unsupervised HDR Image and Video Tone Mapping via Contrastive LearningIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2023.329035134:2(786-798)Online publication date: 1-Feb-2024
https://dl.acm.org/doi/10.1109/TCSVT.2023.3290351
Pouli T(2023)High Dynamic Range ImagingEncyclopedia of Color Science and Technology10.1007/978-3-030-89862-5_177(892-902)Online publication date: 28-Sep-2023
https://doi.org/10.1007/978-3-030-89862-5_177
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Index Terms

Calibrated image appearance reproduction
1. Computing methodologies
  1. Computer graphics
    1. Image manipulation
    2. Rendering

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Published In

cover image ACM Transactions on Graphics

ACM Transactions on Graphics Volume 31, Issue 6

November 2012

794 pages

ISSN:0730-0301

EISSN:1557-7368

DOI:10.1145/2366145

Issue’s Table of Contents

Copyright © 2012 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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Publication History

Published: 01 November 2012

Published in TOG Volume 31, Issue 6

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Cited By

Venkataramanan ABovik A(2024)Subjective Quality Assessment of Compressed Tone-Mapped High Dynamic Range VideosIEEE Transactions on Image Processing10.1109/TIP.2024.346341833(5440-5455)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TIP.2024.3463418
Cao CYue HLiu XYang J(2024)Unsupervised HDR Image and Video Tone Mapping via Contrastive LearningIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2023.329035134:2(786-798)Online publication date: 1-Feb-2024
https://dl.acm.org/doi/10.1109/TCSVT.2023.3290351
Pouli T(2023)High Dynamic Range ImagingEncyclopedia of Color Science and Technology10.1007/978-3-030-89862-5_177(892-902)Online publication date: 28-Sep-2023
https://doi.org/10.1007/978-3-030-89862-5_177
Phung TSpieringhs RSmet KLeloup FHanselaer P(2022)Towards an image-based brightness model for self-luminous stimuliOptics Express10.1364/OE.45126530:6(9035)Online publication date: 3-Mar-2022
https://doi.org/10.1364/OE.451265
Pouli T(2022)High Dynamic Range ImagingEncyclopedia of Color Science and Technology10.1007/978-3-642-27851-8_177-2(1-11)Online publication date: 2-Aug-2022
https://doi.org/10.1007/978-3-642-27851-8_177-2
Khan RYang YLiu QQaisar Z(2021)A ghostfree contrast enhancement method for multiview images without depth informationJournal of Visual Communication and Image Representation10.1016/j.jvcir.2021.10317578:COnline publication date: 1-Jul-2021
https://dl.acm.org/doi/10.1016/j.jvcir.2021.103175
Reinhard E(2021)High Dynamic Range ImagingComputer Vision10.1007/978-3-030-63416-2_843(558-563)Online publication date: 13-Oct-2021
https://doi.org/10.1007/978-3-030-63416-2_843
Chen FZhang JCai JXu TLu GPeng X(2020)Infrared Image Adaptive Enhancement Guided by Energy of Gradient Transformation and Multiscale Image FusionApplied Sciences10.3390/app1018626210:18(6262)Online publication date: 9-Sep-2020
https://doi.org/10.3390/app10186262
Kwon HLee S(2020)Contrast Sensitivity Based Multiscale Base–Detail Separation for Enhanced HDR ImagingApplied Sciences10.3390/app1007251310:7(2513)Online publication date: 6-Apr-2020
https://doi.org/10.3390/app10072513
Lee GKwon HLee S(2020)HDR image reproduction based on visual achromatic responseOptical Review10.1007/s10043-020-00604-w27:4(361-374)Online publication date: 29-May-2020
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