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Photographic tone reproduction for digital images

Authors:

James FerwerdaAuthors Info & Claims

SIGGRAPH '02: Proceedings of the 29th annual conference on Computer graphics and interactive techniques

Pages 267 - 276

https://doi.org/10.1145/566570.566575

Published: 01 July 2002 Publication History

Abstract

A classic photographic task is the mapping of the potentially high dynamic range of real world luminances to the low dynamic range of the photographic print. This tone reproduction problem is also faced by computer graphics practitioners who map digital images to a low dynamic range print or screen. The work presented in this paper leverages the time-tested techniques of photographic practice to develop a new tone reproduction operator. In particular, we use and extend the techniques developed by Ansel Adams to deal with digital images. The resulting algorithm is simple and produces good results for a wide variety of images.

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Cited By

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https://dl.acm.org/doi/10.1145/3635152
Nam YKim JShim JKang S(2024)Deep Conditional HDRI: Inverse Tone Mapping via Dual Encoder-Decoder Conditioning MethodIEEE Transactions on Multimedia10.1109/TMM.2024.337989026(8504-8515)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TMM.2024.3379890
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: 2024
https://doi.org/10.1109/TIP.2024.3463418
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Index Terms

Photographic tone reproduction for digital images
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision representations
        Image representations

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cover image ACM Conferences

SIGGRAPH '02: Proceedings of the 29th annual conference on Computer graphics and interactive techniques

July 2002

574 pages

ISBN:1581135211

DOI:10.1145/566570

Conference Chair:
Tom Appolloni
Harris Corporation

Copyright © 2002 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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Published: 01 July 2002

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SIGGRAPH02: The 29th International Conference on Computer Graphics and Interactive Techniques

July 23 - 26, 2002

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Lv CZhang DGeng SWu ZHuang H(2024)Color Transfer for Images: A SurveyACM Transactions on Multimedia Computing, Communications, and Applications10.1145/363515220:8(1-29)Online publication date: 9-Jul-2024
https://dl.acm.org/doi/10.1145/3635152
Nam YKim JShim JKang S(2024)Deep Conditional HDRI: Inverse Tone Mapping via Dual Encoder-Decoder Conditioning MethodIEEE Transactions on Multimedia10.1109/TMM.2024.337989026(8504-8515)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TMM.2024.3379890
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: 2024
https://doi.org/10.1109/TIP.2024.3463418
Kashyap SGiri PBhandari A(2024)Logarithmically Optimized Real-Time HDR Tone Mapping With Hardware ImplementationIEEE Transactions on Circuits and Systems II: Express Briefs10.1109/TCSII.2023.332594271:3(1426-1430)Online publication date: Mar-2024
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