Single image dehazing using deep neural networks-Reference-Cited by-同舟云学术

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Single image dehazing using deep neural networks

Published:2019-12 Issue: Volume:128 Page:70-77
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Hodges Cameron,Bennamoun Mohammed,Rahmani Hossein

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference34 articles.

1. Ntire 2018 challenge on image dehazing: Methods and results;Ancuti,2018

2. Non-local image dehazing;Berman,2016

3. Signature verification using a “siamese” time delay neural network;Bromley,1994

4. Dehazenet: an end-to-end system for single image haze removal;Cai;IEEE Trans. Image Process.,2016

5. Improved Single Image Dehazing Using Geometry;Carr,2009

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1. Enhancing low-light images via dehazing principles: Essence and method;Pattern Recognition Letters;2024-09

2. Cross-stage recurrent feature sharing network for video dehazing;Expert Systems with Applications;2024-05

3. Drfnet: dual stream recurrent feature sharing network for video dehazing;International Journal of Machine Learning and Cybernetics;2024-03-13

4. Improved image dehazing model with color correction transform-based dark channel prior;The Visual Computer;2024-02-08

5. EIGAN: An explicitly and implicitly feature-aligned GAN for degraded image classification;Pattern Recognition Letters;2024-02

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