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Nighttime Dehaze-Enhancement

arXiv 2210.09962 ↗First posted 18 Oct 2022cs.CVcited by 0

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Abstract (arXiv)

In this paper, we introduce a new computer vision task called nighttime dehaze-enhancement. This task aims to jointly perform dehazing and lightness enhancement. Our task fundamentally differs from nighttime dehazing -- our goal is to jointly dehaze and enhance scenes, while nighttime dehazing aims to dehaze scenes under a nighttime setting. In order to facilitate further research on this task, we release a new benchmark dataset called Reside-β Night dataset, consisting of 4122 nighttime hazed images from 2061 scenes and 2061 ground truth images. Moreover, we also propose a new network called NDENet (Nighttime Dehaze-Enhancement Network), which jointly performs dehazing and low-light enhancement in an end-to-end manner. We evaluate our method on the proposed benchmark and achieve SSIM of 0.8962 and PSNR of 26.25. We also compare our network with other baseline networks on our benchmark to demonstrate the effectiveness of our approach. We believe that nighttime dehaze-enhancement is an essential task particularly for autonomous navigation applications, and hope that our work will open up new frontiers in research. Our dataset and code will be made publicly available upon acceptance of our paper.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 15 of its 43 references that are in the map. First posted on arXiv 18 Oct 2022.

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15 of 43 references.

References · 15

  1. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,713
  2. 2014Very Deep Convolutional Networks for Large-Scale Image Recognitioncited by 15,364
  3. 2016Densely Connected Convolutional Networkscited by 6,720
  4. 2016Perceptual Losses for Real-Time Style Transfer and Super-Resolutioncited by 2,694
  5. 2018Deep Retinex Decomposition for Low-Light Enhancementcited by 723
  6. 2017Benchmarking Single Image Dehazing and Beyondcited by 447
  7. 2019Kindling the Darkness: A Practical Low-light Image Enhancercited by 355
  8. 2016DehazeNet: An End-to-End System for Single Image Haze Removalcited by 314
  9. 2019FFA-Net: Feature Fusion Attention Network for Single Image Dehazingcited by 307
  10. 2018Densely Connected Pyramid Dehazing Networkcited by 145
  11. 2018Cycle-Dehaze: Enhanced CycleGAN for Single Image Dehazingcited by 79
  12. 2020Nighttime Dehazing with a Synthetic Benchmarkcited by 41
3 more
  1. 2017An All-in-One Network for Dehazing and Beyondcited by 22
  2. 2017Joint Transmission Map Estimation and Dehazing using Deep Networkscited by 16
  3. 2020Single image dehazing for a variety of haze scenarios using back projected pyramid networkcited by 7

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