research-article

Detail-Enhanced Exposure Fusion

Authors:

Zheng Guo Li,

Jing Hong Zheng,

Susanto RahardjaAuthors Info & Claims

IEEE Transactions on Image Processing, Volume 21, Issue 11

Pages 4672 - 4676

https://doi.org/10.1109/TIP.2012.2207396

Published: 01 November 2012 Publication History

Abstract

In a typical processing chain of image enhancement, an exposure fusion scheme can be used to synthesize a more detailed low dynamic range (LDR) image directly from a set of differently exposed LDR images, without generation of an intermediate high dynamic range image. In this brief, we introduce a new quadratic optimization-based method to extract fine details from a vector field. The new method extracts fine details from a set of differently exposed LDR images simultaneously. The extracted fine details are then added to an intermediate LDR image which is fused by simply using an existing exposure fusion scheme. With this, the proposed scheme can enhance fine details to produce sharper images.

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Karim STong GLi JYu XHao JYu Y(2024)Automatic Machine Learning based Real Time Multi-Tasking Image FusionProceedings of the 2024 16th International Conference on Machine Learning and Computing10.1145/3651671.3651683(327-333)Online publication date: 2-Feb-2024
https://dl.acm.org/doi/10.1145/3651671.3651683
Yang GLi JGao X(2024)A dual domain multi-exposure image fusion network based on spatial-frequency integrationNeurocomputing10.1016/j.neucom.2024.128146598:COnline publication date: 14-Sep-2024
https://dl.acm.org/doi/10.1016/j.neucom.2024.128146
Peng PJing ZPan HLiu YSong B(2024)CurveMEFNeurocomputing10.1016/j.neucom.2024.127915596:COnline publication date: 1-Sep-2024
https://dl.acm.org/doi/10.1016/j.neucom.2024.127915
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Detail-Enhanced Exposure Fusion
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision tasks
  2. Computer graphics

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cover image IEEE Transactions on Image Processing

IEEE Transactions on Image Processing Volume 21, Issue 11

November 2012

173 pages

ISSN:1057-7149

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IEEE Press

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Published: 01 November 2012

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Karim STong GLi JYu XHao JYu Y(2024)Automatic Machine Learning based Real Time Multi-Tasking Image FusionProceedings of the 2024 16th International Conference on Machine Learning and Computing10.1145/3651671.3651683(327-333)Online publication date: 2-Feb-2024
https://dl.acm.org/doi/10.1145/3651671.3651683
Yang GLi JGao X(2024)A dual domain multi-exposure image fusion network based on spatial-frequency integrationNeurocomputing10.1016/j.neucom.2024.128146598:COnline publication date: 14-Sep-2024
https://dl.acm.org/doi/10.1016/j.neucom.2024.128146
Peng PJing ZPan HLiu YSong B(2024)CurveMEFNeurocomputing10.1016/j.neucom.2024.127915596:COnline publication date: 1-Sep-2024
https://dl.acm.org/doi/10.1016/j.neucom.2024.127915
Peng PLiu YJing ZPan HZhang H(2024)DDFusionJournal of Visual Communication and Image Representation10.1016/j.jvcir.2023.10394797:COnline publication date: 27-Feb-2024
https://dl.acm.org/doi/10.1016/j.jvcir.2023.103947
Karimi MNejati M(2024)Learning sparse feature representation for blind quality assessment of night-time imagesImage Communication10.1016/j.image.2024.117167128:COnline publication date: 1-Oct-2024
https://dl.acm.org/doi/10.1016/j.image.2024.117167
Karimi MNejati M(2024)HNQA: histogram-based descriptors for fast night-time image quality assessmentMultimedia Systems10.1007/s00530-024-01440-730:5Online publication date: 30-Aug-2024
https://dl.acm.org/doi/10.1007/s00530-024-01440-7
Yang BCui YLiu LChen GXu JLin J(2024)Blind quality evaluator for multi-exposure fusion image via joint sparse features and complex-wavelet statistical characteristicsMultimedia Systems10.1007/s00530-024-01404-x30:4Online publication date: 5-Jul-2024
https://dl.acm.org/doi/10.1007/s00530-024-01404-x
Bao MDu JHu XHe LJi HWu Y(2023)Maritime Low-light Image Enhancement by Joint En-decoder Architecture and Feature Enhancement NetworkProceedings of the 2023 7th International Conference on Innovation in Artificial Intelligence10.1145/3594409.3594411(46-52)Online publication date: 3-Mar-2023
https://dl.acm.org/doi/10.1145/3594409.3594411
C.R. JS. V(2023)Multi exposure image fusion based on exposure correction and input refinement using limited low dynamic range imagesJournal of Visual Communication and Image Representation10.1016/j.jvcir.2023.10390795:COnline publication date: 1-Sep-2023
https://dl.acm.org/doi/10.1016/j.jvcir.2023.103907
Zhang HMa J(2023)IID-MEFInformation Fusion10.1016/j.inffus.2023.02.03195:C(326-340)Online publication date: 1-Jul-2023
https://dl.acm.org/doi/10.1016/j.inffus.2023.02.031
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Detail-Enhanced Multi-Scale Exposure Fusion

Intelligent Detail Enhancement for Exposure Fusion

Detailed and enhanced multi-exposure image fusion using recursive filter

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