Single Image Dehazing Using Hybrid Convolution Neural Network-Reference-Cited by-同舟云学术

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Single Image Dehazing Using Hybrid Convolution Neural Network

Published:2023-10-05 Issue: Volume: Page:
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Juneja Akshay,Kumar Vijay,Singla Sunil Kumar

Funder

Council of Scientific and Industrial Research (CSIR), India

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-17132-9.pdf

Reference72 articles.

1. Yan J, Li C, Zheng Y, Xu S, Yan X (2020) MMP-net: a multi-scale feature multiple parallel fusion network for single image haze removal. IEEE Access 8:25431–25441

2. Li B, Gou Y, Gu S, Liu JZ, Zhou JT, Peng X (2021) You only look yourself: Unsupervised and untrained single image dehazing neural network. Int J Comput Vision 129:1754–1767

3. Kratz L, Nishino K (2009) Factorizing scene albedo and depth from a single foggy image. In: 2009 IEEE 12th International Conference on Computer Vision. IEEE, pp 1701–1708. https://doi.org/10.1109/ICCV.2009.5459382

4. He K, Sun J, Tang X (2010) Single image haze removal using dark channel prior. IEEE Trans Pattern Anal Mach Intell 33(12):2341–2353

5. Zhu Q, Mai J, Shao L (2015) A fast single image haze removal algorithm using color attenuation prior. IEEE Trans Image Process 24(11):3522–3533. https://doi.org/10.1109/TIP.2015.2446191

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