A Research on Single Image Dehazing Algorithms Based on Dark Channel Prior

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ISSN Print: 2327-5219
ISSN Online: 2327-5227

Website: https://www.scirp.org/journal/jcc
E-mail: jcc@scirp.org

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Submission

"A Research on Single Image Dehazing Algorithms Based on Dark Channel Prior"
written by Ebtesam Mohameed Alharbi, Peng Ge, Hong Wang,
published by Journal of Computer and Communications, Vol.4 No.2, 2016

has been cited by the following article(s):

[1]	L2UWE: A Framework for the Efficient Enhancement of Low-Light Underwater Images Using Local Contrast and Multi-Scale Fusion
	2020

[2]	L^ 2UWE: A Framework for the Efficient Enhancement of Low-Light Underwater Images Using Local Contrast and Multi-Scale Fusion
	2020

[3]	Multiple polynomial regression for solving atmospheric scattering model
	2019

[4]	A Contrast-Guided Approach for the Enhancement of Low-Lighting Underwater Images
	2019

[5]	Current Issues on Single Image Dehazing Method
	2018

[6]	Vehicle license plate recognition in dense fog based on improved atmospheric scattering model
	Proceedings Volume 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 2018

[7]	Enhancement of Low-Lighting Underwater Images Using Dark Channel Prior and Fast Guided Filters
	2018

[8]	Parallel Computing Implementation for Real-Time Image Dehazing Based on Dark Channel
	2018

[9]	Fog Removal by Multiple Polynomial Regression Model through Curvelets
	International Journal of Intelligent Engineering and Systems, 2017

[10]	Haze Removal of a Single Image by Using the Brightness Prior
	International Journal of Intelligent Engineering and Systems, 2017

[1]	L2UWE: A Framework for the Efficient Enhancement of Low-Light Underwater Images Using Local Contrast and Multi-Scale Fusion 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2020 DOI:10.1109/CVPRW50498.2020.00277

[2]	Pattern Recognition and Information Forensics Lecture Notes in Computer Science, 2019 DOI:10.1007/978-3-030-05792-3_6

[3]	A Contrast-Guided Approach for the Enhancement of Low-Lighting Underwater Images Journal of Imaging, 2019 DOI:10.3390/jimaging5100079

[4]	An Optimal Image Dehazing Technique Using Dark Channel Prior 2019 2nd International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT), 2019 DOI:10.1109/ICICICT46008.2019.8993313

[5]	Parallel Computing Implementation for Real-Time Image Dehazing Based on Dark Channel 2018 IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Conference on Data Science and Systems (HPCC/SmartCity/DSS), 2018 DOI:10.1109/HPCC/SmartCity/DSS.2018.00032

[6]	Vehicle license plate recognition in dense fog based on improved atmospheric scattering model Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 2018 DOI:10.1117/12.2302477