Article

High dynamic range image hallucination

Authors:

Heung-Yeung ShumAuthors Info & Claims

SIGGRAPH '07: ACM SIGGRAPH 2007 sketches

Pages 72 - es

https://doi.org/10.1145/1278780.1278867

Published: 05 August 2007 Publication History

Abstract

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[1]

Wang, L., Wei, L.-Y., Zhou, K., Guo, B., and Shum, H.-Y. 2007. High dynamic range image hallucination. In Rendering Techniques '07 (Proc. of the Eurographics Symposium on Rendering), to appear.

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Banterle FMarnerides DBashford-rogers TDebattista K(2024)Self-supervised High Dynamic Range Imaging: What Can Be Learned from a Single 8-bit Video?ACM Transactions on Graphics10.1145/364857043:2(1-16)Online publication date: 20-Feb-2024
https://dl.acm.org/doi/10.1145/3648570
Alpay KAkyüz ABrandonisio NMeehan JChalmers A(2024)DeepDuoHDR: A Low Complexity Two Exposure Algorithm for HDR Deghosting on Mobile DevicesIEEE Transactions on Image Processing10.1109/TIP.2024.349783833(6592-6606)Online publication date: 2024
https://doi.org/10.1109/TIP.2024.3497838
Sekmen SAkyüz A(2024)A Compact Multi-Exposure File Format for Backward and Forward Compatible HDR ImagingIEEE Access10.1109/ACCESS.2024.338392812(48420-48435)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3383928
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Published In

SIGGRAPH '07: ACM SIGGRAPH 2007 sketches

August 2007

94 pages

ISBN:9781450347266

DOI:10.1145/1278780

Conference Chairs:
Marc Alexa
Technische Universität Berlin
,
Adam Finkelstein
Princeton University

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

New York, NY, United States

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Published: 05 August 2007

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SIGGRAPH

SIGGRAPH07: Special Interest Group on Computer Graphics and Interactive Techniques Conference

August 5 - 9, 2007

California, San Diego

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Overall Acceptance Rate 1,822 of 8,601 submissions, 21%

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Banterle FMarnerides DBashford-rogers TDebattista K(2024)Self-supervised High Dynamic Range Imaging: What Can Be Learned from a Single 8-bit Video?ACM Transactions on Graphics10.1145/364857043:2(1-16)Online publication date: 20-Feb-2024
https://dl.acm.org/doi/10.1145/3648570
Alpay KAkyüz ABrandonisio NMeehan JChalmers A(2024)DeepDuoHDR: A Low Complexity Two Exposure Algorithm for HDR Deghosting on Mobile DevicesIEEE Transactions on Image Processing10.1109/TIP.2024.349783833(6592-6606)Online publication date: 2024
https://doi.org/10.1109/TIP.2024.3497838
Sekmen SAkyüz A(2024)A Compact Multi-Exposure File Format for Backward and Forward Compatible HDR ImagingIEEE Access10.1109/ACCESS.2024.338392812(48420-48435)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3383928
Han JYang YDuan PZhou CMa LXu CHuang TSato IShi B(2023)Hybrid High Dynamic Range Imaging fusing Neuromorphic and Conventional ImagesIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.2022.323133445:7(8553-8565)Online publication date: 1-Jul-2023
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Chen WLiu XRu CSun Y(2023)Automated Exposures Selection for High Dynamic Range Structured-Light 3-D ScanningIEEE Transactions on Industrial Electronics10.1109/TIE.2022.320131870:7(7428-7437)Online publication date: Jul-2023
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Wang CSerrano APan XChen BMyszkowski KSeidel HTheobalt CLeimkühler T(2023)GlowGAN: Unsupervised Learning of HDR Images from LDR Images in the Wild2023 IEEE/CVF International Conference on Computer Vision (ICCV)10.1109/ICCV51070.2023.00964(10475-10485)Online publication date: 1-Oct-2023
https://doi.org/10.1109/ICCV51070.2023.00964
Lee MRhee CLee C(2022)HSVNet: Reconstructing HDR Image from a Single Exposure LDR Image with CNNApplied Sciences10.3390/app1205237012:5(2370)Online publication date: 24-Feb-2022
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AYDOGAN DUMAN E(2021)An Edge Preserving Image Denoising Framework Based on Statistical Edge Detection and Bilateral Filterİstatistiksel Kenar Algılama ve Bilateral Filtreye Dayalı Kenar Korumalı Gürültü Giderme YöntemiMehmet Akif Ersoy Üniversitesi Fen Bilimleri Enstitüsü Dergisi10.29048/makufebed.102927612:Ek (Suppl.) 1(519-531)Online publication date: 31-Dec-2021
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Sharif SAli Naqvi RBiswas MKim S(2021)A Two-stage Deep Network for High Dynamic Range Image Reconstruction2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)10.1109/CVPRW53098.2021.00067(550-559)Online publication date: Jun-2021
https://doi.org/10.1109/CVPRW53098.2021.00067
Ye NHuo YLiu SLi H(2021)Single Exposure High Dynamic Range Image Reconstruction Based on Deep Dual-Branch NetworkIEEE Access10.1109/ACCESS.2021.30494809(9610-9624)Online publication date: 2021
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