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Low-Light Image Enhancement with Wavelet-Based Diffusion Models

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Shuaicheng LiuAuthors Info & Claims

ACM Transactions on Graphics (TOG), Volume 42, Issue 6

Article No.: 238, Pages 1 - 14

https://doi.org/10.1145/3618373

Published: 05 December 2023 Publication History

Abstract

Diffusion models have achieved promising results in image restoration tasks, yet suffer from time-consuming, excessive computational resource consumption, and unstable restoration. To address these issues, we propose a robust and efficient Diffusion-based Low-Light image enhancement approach, dubbed DiffLL. Specifically, we present a wavelet-based conditional diffusion model (WCDM) that leverages the generative power of diffusion models to produce results with satisfactory perceptual fidelity. Additionally, it also takes advantage of the strengths of wavelet transformation to greatly accelerate inference and reduce computational resource usage without sacrificing information. To avoid chaotic content and diversity, we perform both forward diffusion and denoising in the training phase of WCDM, enabling the model to achieve stable denoising and reduce randomness during inference. Moreover, we further design a high-frequency restoration module (HFRM) that utilizes the vertical and horizontal details of the image to complement the diagonal information for better fine-grained restoration. Extensive experiments on publicly available real-world benchmarks demonstrate that our method outperforms the existing state-of-the-art methods both quantitatively and visually, and it achieves remarkable improvements in efficiency compared to previous diffusion-based methods. In addition, we empirically show that the application for low-light face detection also reveals the latent practical values of our method. Code is available at https://github.com/JianghaiSCU/Diffusion-Low-Light.

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https://doi.org/10.3390/s24134359
Pan JLiu XBai YZhai DJiang JZhao D(2024)Illumination-Aware Low-Light Image Enhancement with Transformer and Auto-Knee CurveACM Transactions on Multimedia Computing, Communications, and Applications10.1145/366465320:8(1-23)Online publication date: 29-Jun-2024
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Index Terms

Low-Light Image Enhancement with Wavelet-Based Diffusion Models
1. Computing methodologies
  1. Computer graphics
    1. Image manipulation
      1. Computational photography

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cover image ACM Transactions on Graphics

ACM Transactions on Graphics Volume 42, Issue 6

December 2023

1565 pages

ISSN:0730-0301

EISSN:1557-7368

DOI:10.1145/3632123

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Published: 05 December 2023

Published in TOG Volume 42, Issue 6

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Cited By

Yi AAnantrasirichai N(2024)A Comprehensive Study of Object Tracking in Low-Light EnvironmentsSensors10.3390/s2413435924:13(4359)Online publication date: 5-Jul-2024
https://doi.org/10.3390/s24134359
Pan JLiu XBai YZhai DJiang JZhao D(2024)Illumination-Aware Low-Light Image Enhancement with Transformer and Auto-Knee CurveACM Transactions on Multimedia Computing, Communications, and Applications10.1145/366465320:8(1-23)Online publication date: 29-Jun-2024
https://dl.acm.org/doi/10.1145/3664653
Liu JHu WYang ZChen JWang GChen XCai YGao HZhao H(2024)Rip-NeRF: Anti-aliasing Radiance Fields with Ripmap-Encoded Platonic SolidsACM SIGGRAPH 2024 Conference Papers10.1145/3641519.3657402(1-11)Online publication date: 13-Jul-2024
https://dl.acm.org/doi/10.1145/3641519.3657402
Cho HShin HJang YKo SJung S(2024)PD-CR: Patch-Based Diffusion Using Constrained Refinement for Image RestorationIEEE Signal Processing Letters10.1109/LSP.2024.338190831(949-953)Online publication date: 2024
https://doi.org/10.1109/LSP.2024.3381908
Wang WJin Z(2024)CAPformer: Compression-Aware Pre-trained Transformer for Low-Light Image Enhancement2024 IEEE International Conference on Multimedia and Expo (ICME)10.1109/ICME57554.2024.10688040(1-6)Online publication date: 15-Jul-2024
https://doi.org/10.1109/ICME57554.2024.10688040
Lian WLian WLuo Z(2024)Equipping Diffusion Models with Differentiable Spatial Entropy for Low-Light Image Enhancement2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)10.1109/CVPRW63382.2024.00661(6671-6681)Online publication date: 17-Jun-2024
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Liu XWu ZLi AVasluianu FZhang YGu SZhang LZhu CTimofte RJin ZWu HWang CLing HCai YBian HZheng YLin JYuille AShao BGuo JLiu TWu MFeng YHou SLin HZhu YWu PDong WSun JZhang YYan QZou WYang WLi YWei QYe TChen SZhang ZZhao SWang BLuo YZuo ZWang MWang JWei YSun XGao YHuang JChen HChen XTang HChen YZhou YDai XQiu XDeng WGao QTong TLi MHu JHe XGuo XSabarinathan SUma KSasithradevi ABama BRoomi SSrivatsav VWang JSun LChen QShao JZhang YConde MFeijoo DBenito JGarcía ALee JKim SA SKhujaev NTsoy RMurtaza AKhairuddin UFaudzi AMalagi SJoshi AAkalwadi NDesai CTabib RMudenagudi ULian WLian WKalyanshetti JAralikatti VYashaswini PUpasi NHegde DPatil UC SYan XHao WFu MChoksy PSarvaiya AUpla KRaja KYan HZhang YLi BZhang JZheng H(2024)NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)10.1109/CVPRW63382.2024.00655(6571-6594)Online publication date: 17-Jun-2024
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Dong WZhou HTian YSun JLiu XZhai GChen J(2024)ShadowRefiner: Towards Mask-free Shadow Removal via Fast Fourier Transformer2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)10.1109/CVPRW63382.2024.00625(6208-6217)Online publication date: 17-Jun-2024
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Feng YHou SLin HZhu YWu PDong WSun JYan QZhang Y(2024)DiffLight: Integrating Content and Detail for Low-light Image Enhancement2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)10.1109/CVPRW63382.2024.00619(6143-6152)Online publication date: 17-Jun-2024
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Wang WYang HFu JLiu J(2024)Zero-Reference Low-Light Enhancement via Physical Quadruple Priors2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR52733.2024.02462(26057-26066)Online publication date: 16-Jun-2024
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