research-article

Mutual Information-driven Triple Interaction Network for Efficient Image Dehazing

Authors:

Zhong-Qiu Zhao,

Zhao ZhangAuthors Info & Claims

MM '23: Proceedings of the 31st ACM International Conference on Multimedia

Pages 7 - 16

https://doi.org/10.1145/3581783.3612299

Published: 27 October 2023 Publication History

Abstract

Multi-stage architectures have exhibited efficacy in image dehazing, which usually decomposes a challenging task into multiple more tractable sub-tasks and progressively estimates latent hazy-free images. Despite the remarkable progress, existing methods still suffer from the following shortcomings: (1) limited exploration of frequency domain information; (2) insufficient information interaction; (3) severe feature redundancy. To remedy these issues, we propose a novel Mutual Information-driven Triple interaction Network (MITNet) based on spatial-frequency dual domain information and two-stage architecture. To be specific, the first stage, named amplitude-guided haze removal, aims to recover the amplitude spectrum of the hazy images for haze removal. And the second stage, named phase-guided structure refined, devotes to learning the transformation and refinement of the phase spectrum. To facilitate the information exchange between two stages, an Adaptive Triple Interaction Module (ATIM) is developed to simultaneously aggregate cross-domain, cross-scale, and cross-stage features, where the fused features are further used to generate content-adaptive dynamic filters so that applying them to enhance global context representation. In addition, we impose the mutual information minimization constraint on paired scale encoder and decoder features from both stages. Such an operation can effectively reduce information redundancy and enhance cross-stage feature complementarity. Extensive experiments on multiple public datasets exhibit that our MITNet performs superior performance with lower model complexity. The code and models are available at https://github.com/it-hao/MITNet.

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Cited By

Zhang ZJiang ZMa LLiu JFan XLiu R(2025)HUPE: Heuristic Underwater Perceptual Enhancement with Semantic Collaborative LearningInternational Journal of Computer Vision10.1007/s11263-024-02318-xOnline publication date: 4-Jan-2025
https://doi.org/10.1007/s11263-024-02318-x
Huo ZZhan XQiao YZhao S(2025)D3-Dehaze: a divide-and-conquer framework for enhanced single image dehazingThe Visual Computer10.1007/s00371-024-03776-7Online publication date: 9-Jan-2025
https://doi.org/10.1007/s00371-024-03776-7
Yuan SChen JJiang WZhao ZGuo S(2024)LHNetV2: A Balanced Low-Cost Hybrid Network for Single Image DehazingIEEE Transactions on Multimedia10.1109/TMM.2024.337713326(8197-8209)Online publication date: 18-Mar-2024
https://dl.acm.org/doi/10.1109/TMM.2024.3377133
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Index Terms

Mutual Information-driven Triple Interaction Network for Efficient Image Dehazing
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision tasks

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cover image ACM Conferences

MM '23: Proceedings of the 31st ACM International Conference on Multimedia

October 2023

9913 pages

ISBN:9798400701085

DOI:10.1145/3581783

General Chairs:
Abdulmotaleb El Saddik
University of Ottawa, Canada & MBZUAI, UAE
,
Tao Mei
HiDream.ai, China
,
Rita Cucchiara
University of Modena and Reggio Emilia, Italy
,
Program Chairs:
Marco Bertini
University of Florence, Italy
,
Diana Patricia Tobon Vallejo
Unversidad de Medellin, Colombia
,
Pradeep K. Atrey
University at Albany, State University of New York, USA
,
M. Shamim Hossain
M. Shamim Hossain (King Saud University, KSA

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Published: 27 October 2023

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Anhui Provincial Natural Science Fund for the Distinguished Young Scholars
Key Project of Science and Technology of Guangxi
National Natural Science Foundation of China

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MM '23

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SIGMM

MM '23: The 31st ACM International Conference on Multimedia

October 29 - November 3, 2023

Ottawa ON, Canada

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Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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Cited By

Zhang ZJiang ZMa LLiu JFan XLiu R(2025)HUPE: Heuristic Underwater Perceptual Enhancement with Semantic Collaborative LearningInternational Journal of Computer Vision10.1007/s11263-024-02318-xOnline publication date: 4-Jan-2025
https://doi.org/10.1007/s11263-024-02318-x
Huo ZZhan XQiao YZhao S(2025)D3-Dehaze: a divide-and-conquer framework for enhanced single image dehazingThe Visual Computer10.1007/s00371-024-03776-7Online publication date: 9-Jan-2025
https://doi.org/10.1007/s00371-024-03776-7
Yuan SChen JJiang WZhao ZGuo S(2024)LHNetV2: A Balanced Low-Cost Hybrid Network for Single Image DehazingIEEE Transactions on Multimedia10.1109/TMM.2024.337713326(8197-8209)Online publication date: 18-Mar-2024
https://dl.acm.org/doi/10.1109/TMM.2024.3377133
Wang JWei YZhang ZFan JZhao YYang YWang M(2024)Progressive Stereo Image Dehazing Network via Cross-View Region InteractionIEEE Transactions on Multimedia10.1109/TMM.2024.336891826(7490-7502)Online publication date: 22-Feb-2024
https://dl.acm.org/doi/10.1109/TMM.2024.3368918
Shen HDing HZhang YCong XZhao ZJiang X(2024)Spatial-Frequency Adaptive Remote Sensing Image Dehazing With Mixture of ExpertsIEEE Transactions on Geoscience and Remote Sensing10.1109/TGRS.2024.345898662(1-14)Online publication date: 2024
https://doi.org/10.1109/TGRS.2024.3458986
Yao ZFan GFan JGan MPhilip Chen C(2024)Spatial–Frequency Dual-Domain Feature Fusion Network for Low-Light Remote Sensing Image EnhancementIEEE Transactions on Geoscience and Remote Sensing10.1109/TGRS.2024.343441662(1-16)Online publication date: 2024
https://doi.org/10.1109/TGRS.2024.3434416
Zhang YZhou SLi H(2024)Depth Information Assisted Collaborative Mutual Promotion Network for Single Image Dehazing2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR52733.2024.00275(2846-2855)Online publication date: 16-Jun-2024
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Ayoub AEl-Shafai WEl-Samie FHamad EEL-Rabaie E(2024)Video and image quality improvement using an enhanced optimized dehazing techniqueMultimedia Tools and Applications10.1007/s11042-024-19263-zOnline publication date: 7-Aug-2024
https://doi.org/10.1007/s11042-024-19263-z

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