article

High dynamic range texture compression for graphics hardware

Authors:

Jacob Munkberg,

Petrik Clarberg,

Jon Hasselgren,

Tomas Akenine-MöllerAuthors Info & Claims

ACM Transactions on Graphics (TOG), Volume 25, Issue 3

Pages 698 - 706

https://doi.org/10.1145/1141911.1141944

Published: 01 July 2006 Publication History

Abstract

In this paper, we break new ground by presenting algorithms for fixed-rate compression of high dynamic range textures at low bit rates. First, the S3TC low dynamic range texture compression scheme is extended in order to enable compression of HDR data. Second, we introduce a novel robust algorithm that offers superior image quality. Our algorithm can be efficiently implemented in hardware, and supports textures with a dynamic range of over 10⁹:1. At a fixed rate of 8 bits per pixel, we obtain results virtually indistinguishable from uncompressed HDR textures at 48 bits per pixel. Our research can have a big impact on graphics hardware and real-time rendering, since HDR texturing suddenly becomes affordable.

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https://dl.acm.org/doi/10.1109/TCSVT.2024.3351933
Vaidyanathan KSalvi MWronski BAkenine-Moller TEbelin PLefohn A(2023)Random-Access Neural Compression of Material TexturesACM Transactions on Graphics10.1145/359240742:4(1-25)Online publication date: 26-Jul-2023
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He GLong SXu LWu CYu WZhou J(2023)Global priors guided modulation network for joint super-resolution and SDRTV-to-HDRTVNeurocomputing10.1016/j.neucom.2023.126590554(126590)Online publication date: Oct-2023
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Index Terms

High dynamic range texture compression for graphics hardware
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Image and video acquisition
        3D imaging
  2. Computer graphics
    1. Animation
    2. Graphics systems and interfaces
      1. Graphics processors
2. Information systems
  1. Data management systems
    1. Data structures
      1. Data layout
        Data compression

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Published In

cover image ACM Transactions on Graphics

ACM Transactions on Graphics Volume 25, Issue 3

July 2006

742 pages

ISSN:0730-0301

EISSN:1557-7368

DOI:10.1145/1141911

Issue’s Table of Contents

Copyright © 2006 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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Association for Computing Machinery

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Publication History

Published: 01 July 2006

Published in TOG Volume 25, Issue 3

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Cited By

Liu ZLiu JWu GChen ZFan XLiu R(2024)Searching a Compact Architecture for Robust Multi-Exposure Image FusionIEEE Transactions on Circuits and Systems for Video Technology10.1109/TCSVT.2024.335193334:7(6224-6237)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1109/TCSVT.2024.3351933
Vaidyanathan KSalvi MWronski BAkenine-Moller TEbelin PLefohn A(2023)Random-Access Neural Compression of Material TexturesACM Transactions on Graphics10.1145/359240742:4(1-25)Online publication date: 26-Jul-2023
https://dl.acm.org/doi/10.1145/3592407
He GLong SXu LWu CYu WZhou J(2023)Global priors guided modulation network for joint super-resolution and SDRTV-to-HDRTVNeurocomputing10.1016/j.neucom.2023.126590554(126590)Online publication date: Oct-2023
https://doi.org/10.1016/j.neucom.2023.126590
Perez-Daniel KGarcia-Ugalde FSanchez V(2020)Watermarking of HDR Images in the Spatial Domain With HVS-ImperceptibilityIEEE Access10.1109/ACCESS.2020.30195178(156801-156817)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.3019517
Perez-Daniel KGarcia-Ugalde FSanchez V(2019)Scene-based Imperceptible-visible Watermarking for HDR Video Content2019 7th International Workshop on Biometrics and Forensics (IWBF)10.1109/IWBF.2019.8739184(1-6)Online publication date: May-2019
https://doi.org/10.1109/IWBF.2019.8739184
Hachani MZaid A(2019)Digital Signature Based Control Integrity for JPEG HDR ImagesComputer Analysis of Images and Patterns10.1007/978-3-030-29891-3_39(449-458)Online publication date: 3-Sep-2019
https://dl.acm.org/doi/10.1007/978-3-030-29891-3_39
Xiao YHo TLeung C(2018)Summed Area Tables for Cube MapsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2017.276186924:10(2773-2786)Online publication date: 1-Oct-2018
https://dl.acm.org/doi/10.1109/TVCG.2017.2761869
Hachani MHouimli AZaid A(2018)Multiple Regions Image Scrambling Combined to HDR JPEG Compression2018 IEEE 14th International Conference on Intelligent Computer Communication and Processing (ICCP)10.1109/ICCP.2018.8516433(339-344)Online publication date: Sep-2018
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Bouzidi IOuled Zaid ALarabi M(2018)Revertible tone mapping of high dynamic range imageryMultimedia Tools and Applications10.1007/s11042-017-4425-377:5(5215-5239)Online publication date: 1-Mar-2018
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Zaid AHouimli A(2017)HDR image compression with optimized JPEG coding2017 25th European Signal Processing Conference (EUSIPCO)10.23919/EUSIPCO.2017.8081467(1539-1543)Online publication date: Aug-2017
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