research-article

High dynamic range and super-resolution from raw image bursts

Authors:

Julien MairalAuthors Info & Claims

ACM Transactions on Graphics (TOG), Volume 41, Issue 4

Article No.: 38, Pages 1 - 21

https://doi.org/10.1145/3528223.3530180

Published: 22 July 2022 Publication History

Abstract

Photographs captured by smartphones and mid-range cameras have limited spatial resolution and dynamic range, with noisy response in underexposed regions and color artefacts in saturated areas. This paper introduces the first approach (to the best of our knowledge) to the reconstruction of highresolution, high-dynamic range color images from raw photographic bursts captured by a handheld camera with exposure bracketing. This method uses a physically-accurate model of image formation to combine an iterative optimization algorithm for solving the corresponding inverse problem with a learned image representation for robust alignment and a learned natural image prior. The proposed algorithm is fast, with low memory requirements compared to state-of-the-art learning-based approaches to image restoration, and features that are learned end to end from synthetic yet realistic data. Extensive experiments demonstrate its excellent performance with super-resolution factors of up to ×4 on real photographs taken in the wild with hand-held cameras, and high robustness to low-light conditions, noise, camera shake, and moderate object motion.

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Cited By

Yue HYang WLi CYang YLiu WYang J(2024)Advances of low-level vision reconstruction in raw domainJournal of Image and Graphics10.11834/jig.23079429:6(1646-1666)Online publication date: 2024
https://doi.org/10.11834/jig.230794
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: 23-Mar-2024
https://dl.acm.org/doi/10.1145/3648570
Gossard AWeiss P(2024)Training Adaptive Reconstruction Networks for Blind Inverse ProblemsSIAM Journal on Imaging Sciences10.1137/23M154562817:2(1314-1346)Online publication date: 21-Jun-2024
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Index Terms

High dynamic range and super-resolution from raw image bursts
1. Computing methodologies
  1. Computer graphics
    1. Image manipulation
      1. Image processing

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cover image ACM Transactions on Graphics

ACM Transactions on Graphics Volume 41, Issue 4

July 2022

1978 pages

ISSN:0730-0301

EISSN:1557-7368

DOI:10.1145/3528223

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Copyright © 2022 ACM.

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Published: 22 July 2022

Published in TOG Volume 41, Issue 4

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Yue HYang WLi CYang YLiu WYang J(2024)Advances of low-level vision reconstruction in raw domainJournal of Image and Graphics10.11834/jig.23079429:6(1646-1666)Online publication date: 2024
https://doi.org/10.11834/jig.230794
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: 23-Mar-2024
https://dl.acm.org/doi/10.1145/3648570
Gossard AWeiss P(2024)Training Adaptive Reconstruction Networks for Blind Inverse ProblemsSIAM Journal on Imaging Sciences10.1137/23M154562817:2(1314-1346)Online publication date: 21-Jun-2024
https://doi.org/10.1137/23M1545628
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: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TIP.2024.3497838
Eboli TMorel JFacciolo G(2024)Collaborative Blind Image Deblurring2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)10.1109/CVPRW63382.2024.00792(7943-7952)Online publication date: 17-Jun-2024
https://doi.org/10.1109/CVPRW63382.2024.00792
Xing XPark HWang FZhang YSong SKim CKong X(2024)High Quality Reference Feature for Two Stage Bracketing Image Restoration and Enhancement2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)10.1109/CVPRW63382.2024.00630(6267-6276)Online publication date: 17-Jun-2024
https://doi.org/10.1109/CVPRW63382.2024.00630
Zhang ZZhang SWu RZuo WTimofte RXing XPark HSong SKim CKong XWu JZhang JTan JLiu ZLuo WLin WJiang CHan MLiu ZJiang TLuo JCheng SLi LNiu XLiu SDai KYang KHu TChen XCao YYan QZhang YChen GYang YDong WDai XZhou YQiu XTang HDeng WGao QTong TZhang PChen YXiong WSong ZCheng PFeng THe YZhou DHuang YMa XWu P(2024)NTIRE 2024 Challenge on Bracketing Image Restoration and Enhancement: Datasets, Methods and Results2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)10.1109/CVPRW63382.2024.00620(6153-6166)Online publication date: 17-Jun-2024
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Chen GDai KYang KHu TChen XYang YDong WWu PZhang YYan Q(2024)Bracketing Image Restoration and Enhancement with High-Low Frequency Decomposition2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)10.1109/CVPRW63382.2024.00616(6097-6107)Online publication date: 17-Jun-2024
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Kim SLee MKim WJung DRim JCho SCho M(2024)Burst Image Super-Resolution with Base Frame Selection2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)10.1109/CVPRW63382.2024.00601(5940-5949)Online publication date: 17-Jun-2024
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