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Advancements and Trends in Ultra-High-Resolution Image Processing: An Overview

arXiv 2312.00250 ↗First posted 30 Nov 2023cs.CVcited by 0

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Abstract (arXiv)

Currently, to further improve visual enjoyment, Ultra-High-Definition (UHD) images are catching wide attention. Here, UHD images are usually referred to as having a resolution greater than or equal to 3840 × 2160. However, since the imaging equipment is subject to environmental noise or equipment jitter, UHD images are prone to contrast degradation, blurring, low dynamic range, etc. To address these issues, a large number of algorithms for UHD image enhancement have been proposed. In this paper, we introduce the current state of UHD image enhancement from two perspectives, one is the application field and the other is the technology. In addition, we briefly explore its trends.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 20 of its 40 references that are in the map. First posted on arXiv 30 Nov 2023.

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20 of 40 references.

References · 20

  1. 2017Deep Bilateral Learning for Real-Time Image Enhancementcited by 200
  2. 2022Ultra-High-Definition Low-Light Image Enhancement: A Benchmark and Transformer-Based Methodcited by 174
  3. 2020Learning Image-adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-timecited by 163
  4. 2023Embedding Fourier for Ultra-High-Definition Low-Light Image Enhancementcited by 86
  5. 2022AdaInt: Learning Adaptive Intervals for 3D Lookup Tables on Real-time Image Enhancementcited by 70
  6. 2021Real-time Image Enhancer via Learnable Spatial-aware 3D Lookup Tablescited by 65
  7. 2021High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Networkcited by 61
  8. 2022SepLUT: Separable Image-adaptive Lookup Tables for Real-time Image Enhancementcited by 50
  9. 2021Bilateral Grid Learning for Stereo Matching Networkscited by 46
  10. 20224D LUT: Learnable Context-Aware 4D Lookup Table for Image Enhancementcited by 34
  11. 2020Joint Bilateral Learning for Real-time Universal Photorealistic Style Transfercited by 31
  12. 2022Towards Efficient and Scale-Robust Ultra-High-Definition Image Demoireingcited by 30
8 more
  1. 2017An All-in-One Network for Dehazing and Beyondcited by 22
  2. 2023Five A+ Network: You Only Need 9K Parameters for Underwater Image Enhancementcited by 22
  3. 2023MEFLUT: Unsupervised 1D Lookup Tables for Multi-exposure Image Fusioncited by 22
  4. 2022Single UHD Image Dehazing via Interpretable Pyramid Networkcited by 13
  5. 20234K-Resolution Photo Exposure Correction at 125 FPS with ~8K Parameterscited by 9
  6. 2023Direction-aware Video Demoireing with Temporal-guided Bilateral Learningcited by 8
  7. 2023Efficient Neural Generation of 4K Masks for Homogeneous Diffusion Inpaintingcited by 2
  8. 2022Ultra-High-Definition Image Deblurring via Multi-scale Cubic-Mixercited by 1

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