research-article

Learning Non-Uniform-Sampling for Ultra-High-Definition Image Enhancement

Authors:

Feng ZhaoAuthors Info & Claims

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

Pages 1412 - 1421

https://doi.org/10.1145/3581783.3611836

Published: 27 October 2023 Publication History

Abstract

Ultra-high-definition (UHD) image enhancement is a challenging problem that aims to effectively and efficiently recover clean UHD images. To maintain efficiency, the straightforward approach is to downsample and perform most computations on low-resolution images. However, previous studies typically rely on the uniform and content-agnostic downsampling method that equally treats various regions regardless of their complexities, thus limiting the detail reconstruction in UHD image enhancement. To alleviate this issue, we propose a novel spatial-variant and invertible non-uniform downsampler that adaptively adjusts the sampling rate according to the richness of details. It magnifies important regions to preserve more information (e.g., sparse sampling points for sky, dense sampling points for buildings). Therefore, we propose a novel Non-uniform-Sampling Enhancement Network (NSEN) consisting of two core designs: 1) content-guided downsampling that extracts texture representation to guide the sampler to perform content-aware downsampling for producing detail-preserved low-resolution images; 2) invertible pixel-alignment which remaps the forward sampling process in an iterative manner to eliminate the deformations caused by the non-uniform downsampling, thus producing detail-rich clean UHD images. To demonstrate the superiority of our proposed model, we conduct extensive experiments on various UHD enhancement tasks. The results show that the proposed NSEN yields better performance against other state-of-the-art methods both visually and quantitatively.

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Cited By

Ji DJin WLu HZhao FLarson K(2024)PPTFormerProceedings of the Thirty-Third International Joint Conference on Artificial Intelligence10.24963/ijcai.2024/99(893-901)Online publication date: 3-Aug-2024
https://dl.acm.org/doi/10.24963/ijcai.2024/99
Zou WGao HYang WLiu TCai JKankanhalli MPrabhakaran BBoll SSubramanian RZheng LSingh VCesar PXie LXu D(2024)Wave-Mamba: Wavelet State Space Model for Ultra-High-Definition Low-Light Image EnhancementProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3681580(1534-1543)Online publication date: 28-Oct-2024
https://dl.acm.org/doi/10.1145/3664647.3681580
Xiao ZLu ZWang XCai JKankanhalli MPrabhakaran BBoll SSubramanian RZheng LSingh VCesar PXie LXu D(2024)P-BiC: Ultra-High-Definition Image Moiré Patterns Removal via Patch Bilateral CompensationProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3681144(8365-8373)Online publication date: 28-Oct-2024
https://dl.acm.org/doi/10.1145/3664647.3681144
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Index Terms

Learning Non-Uniform-Sampling for Ultra-High-Definition Image Enhancement
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Image and video acquisition
        Computational photography

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

October 29 - November 3, 2023

Ottawa ON, Canada

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Cited By

Ji DJin WLu HZhao FLarson K(2024)PPTFormerProceedings of the Thirty-Third International Joint Conference on Artificial Intelligence10.24963/ijcai.2024/99(893-901)Online publication date: 3-Aug-2024
https://dl.acm.org/doi/10.24963/ijcai.2024/99
Zou WGao HYang WLiu TCai JKankanhalli MPrabhakaran BBoll SSubramanian RZheng LSingh VCesar PXie LXu D(2024)Wave-Mamba: Wavelet State Space Model for Ultra-High-Definition Low-Light Image EnhancementProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3681580(1534-1543)Online publication date: 28-Oct-2024
https://dl.acm.org/doi/10.1145/3664647.3681580
Xiao ZLu ZWang XCai JKankanhalli MPrabhakaran BBoll SSubramanian RZheng LSingh VCesar PXie LXu D(2024)P-BiC: Ultra-High-Definition Image Moiré Patterns Removal via Patch Bilateral CompensationProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3681144(8365-8373)Online publication date: 28-Oct-2024
https://dl.acm.org/doi/10.1145/3664647.3681144
Zheng NZhou MHuang JHou JLi HXu YZhao F(2024)Probing Synergistic High-Order Interaction in Infrared and Visible Image Fusion2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR52733.2024.02492(26374-26385)Online publication date: 16-Jun-2024
https://doi.org/10.1109/CVPR52733.2024.02492
Yu WHuang JLi BZheng KZhu QZhou MZhao F(2024)Empowering Resampling Operation for Ultra-High-Definition Image Enhancement with Model-Aware Guidance2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR52733.2024.02430(25722-25731)Online publication date: 16-Jun-2024
https://doi.org/10.1109/CVPR52733.2024.02430
Zhu QZhou MHuang JZheng NGao HLi CXv YZhao FOh ANaumann TGloberson ASaenko KHardt MLevine S(2023)FouriDownProceedings of the 37th International Conference on Neural Information Processing Systems10.5555/3666122.3666743(14094-14112)Online publication date: 10-Dec-2023
https://dl.acm.org/doi/10.5555/3666122.3666743

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