mlsanityData to 14 Oct 2026

NDELS: A Novel Approach for Nighttime Dehazing, Low-Light Enhancement, and Light Suppression

arXiv 2312.06850 ↗First posted 11 Dec 2023cs.CV cs.LGcited by 2

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Abstract (arXiv)

This paper tackles the intricate challenge of improving the quality of nighttime images under hazy and low-light conditions. Overcoming issues including nonuniform illumination glows, texture blurring, glow effects, color distortion, noise disturbance, and overall, low light have proven daunting. Despite the inherent difficulties, this paper introduces a pioneering solution named Nighttime Dehazing, Low-Light Enhancement, and Light Suppression (NDELS). NDELS utilizes a unique network that combines three essential processes to enhance visibility, brighten low-light regions, and effectively suppress glare from bright light sources. In contrast to limited progress in nighttime dehazing, unlike its daytime counterpart, NDELS presents a comprehensive and innovative approach. The efficacy of NDELS is rigorously validated through extensive comparisons with eight state-of-the-art algorithms across four diverse datasets. Experimental results showcase the superior performance of our method, demonstrating its outperformance in terms of overall image quality, including color and edge enhancement. Quantitative (PSNR, SSIM) and qualitative metrics (CLIPIQA, MANIQA, TRES), measure these results.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 28 of its 91 references that are in the map. First posted on arXiv 11 Dec 2023.

Builds on

28 of 91 references.

References · 28

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16 more
  1. 2019EnlightenGAN: Deep Light Enhancement without Paired Supervisioncited by 466
  2. 2016DehazeNet: An End-to-End System for Single Image Haze Removalcited by 314
  3. 2019FFA-Net: Feature Fusion Attention Network for Single Image Dehazingcited by 307
  4. 2021HINet: Half Instance Normalization Network for Image Restorationcited by 237
  5. 2020Multi-Scale Boosted Dehazing Network with Dense Feature Fusioncited by 230
  6. 2021Contrastive Learning for Compact Single Image Dehazingcited by 219
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  12. 2018O-HAZE: a dehazing benchmark with real hazy and haze-free outdoor imagescited by 95
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  15. 2021A Two-branch Neural Network for Non-homogeneous Dehazing via Ensemble Learningcited by 16
  16. 2019Night Time Haze and Glow Removal using Deep Dilated Convolutional Networkcited by 11

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Citing papers per year: 2025: 1; 2026: 1.

2 papers.