mlsanityData to 14 Oct 2026

DEFormer: DCT-driven Enhancement Transformer for Low-light Image and Dark Vision

arXiv 2309.06941 ↗First posted 13 Sep 2023cs.CV cs.AIcited by 1

Not on the map. Why?

Abstract (arXiv)

Low-light image enhancement restores the colors and details of a single image and improves high-level visual tasks. However, restoring the lost details in the dark area is still a challenge relying only on the RGB domain. In this paper, we delve into frequency as a new clue into the model and propose a DCT-driven enhancement transformer (DEFormer) framework. First, we propose a learnable frequency branch (LFB) for frequency enhancement contains DCT processing and curvature-based frequency enhancement (CFE) to represent frequency features. Additionally, we propose a cross domain fusion (CDF) to reduce the differences between the RGB domain and the frequency domain. Our DEFormer has achieved superior results on the LOL and MIT-Adobe FiveK datasets, improving the dark detection performance.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 25 of its 55 references that are in the map. First posted on arXiv 13 Sep 2023.

Builds on

25 of 55 references.

References · 25

  1. 2017Attention Is All You Needcited by 60,361
  2. 2015Deep Residual Learning for Image Recognitioncited by 52,096
  3. 2014Microsoft COCO: Common Objects in Contextcited by 17,608
  4. 2018YOLOv3: An Incremental Improvementcited by 2,659
  5. 2021Restormer: Efficient Transformer for High-Resolution Image Restorationcited by 1,627
  6. 2021Uformer: A General U-Shaped Transformer for Image Restorationcited by 866
  7. 2018Deep Retinex Decomposition for Low-Light Enhancementcited by 723
  8. 2020Zero-Reference Deep Curve Estimation for Low-Light Image Enhancementcited by 542
  9. 2020Thinking in Frequency: Face Forgery Detection by Mining Frequency-aware Cluescited by 523
  10. 2019EnlightenGAN: Deep Light Enhancement without Paired Supervisioncited by 466
  11. 2019Kindling the Darkness: A Practical Low-light Image Enhancercited by 355
  12. 2020FcaNet: Frequency Channel Attention Networkscited by 179
13 more
  1. 2018Getting to Know Low-light Images with The Exclusively Dark Datasetcited by 157
  2. 2019UG2+ Track 2: A Collective Benchmark Effort for Evaluating and Advancing Image Understanding in Poor Visibility Environmentscited by 84
  3. 2022Debiased Contrastive Learning of Unsupervised Sentence Representationscited by 56
  4. 2020Wavelet-Based Dual-Branch Network for Image Demoireingcited by 55
  5. 2023SpectFormer: Frequency and Attention is what you need in a Vision Transformercited by 48
  6. 2023STEPS: Joint Self-supervised Nighttime Image Enhancement and Depth Estimationcited by 37
  7. 2021HLA-Face: Joint High-Low Adaptation for Low Light Face Detectioncited by 28
  8. 2020DCT-Mask: Discrete Cosine Transform Mask Representation for Instance Segmentationcited by 27
  9. 2017Wavelet Convolutional Neural Networks for Texture Classificationcited by 21
  10. 2022GDIP: Gated Differentiable Image Processing for Object-Detection in Adverse Conditionscited by 20
  11. 2022LRT: An Efficient Low-Light Restoration Transformer for Dark Light Field Imagescited by 12
  12. 2023PE-YOLO: Pyramid Enhancement Network for Dark Object Detectioncited by 12
  13. 2023CamoFA: A Learnable Fourier-based Augmentation for Camouflage Segmentationcited by 2

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 1.

1 paper.

  1. 2026Low-light Image Enhancement with Retinex Decomposition in Latent Spacecited by 0