Statistical multidirectional line dark channel for single‐image dehazing-Reference-Cited by-同舟云学术

Statistical multidirectional line dark channel for single‐image dehazing

Published:2019-10-14 Issue:14 Volume:13 Page:2877-2887
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET image process

Author:

Salazar Colores Sebastián¹,Moya‐Sánchez Eduardo Ulises²,Ramos‐Arreguín Juan‐Manuel³,Cabal‐Yépez Eduardo⁴

Affiliation:

1. Facultad de informáticaUniversidad Autónoma de QuerétaroAv. de las Ciencias S/N, JuriquillaQuerétaroMexico

2. High‐Performance Artificial Intelligence GroupBarcelona Supercomputing Center, Spain and Postgrado en Ciencias Computacionales Universidad Autónoma de GuadalajaraSpain

3. Facultad de IngenieríaUniversidad Autónoma de QuerétaroCerro de las Campanas s/nQuerétaroMexico

4. Division de Ingenierías del Campus Irapuato‐SalamancaUniversidad de GuanajuatoGuanajuatoMexico

Funder

Consejo Nacional de Ciencia y Tecnología

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2018.6403

Reference40 articles.

1. Benchmarking Single-Image Dehazing and Beyond

2. 2015 Proc. of the 2015 27th Chinese Control and Decision Conf. CCDC 2015 Qingdao China C. Chengtao Z. Qiuyu L. Yanhua A survey of image dehazing approaches 3964 3969

3. Single image dehazing using local linear fusion

4. A comprehensive review of computational dehazing techniques;Singh D.;Arch. Comput. Meth. Eng.,2018

5. 2018 Int. Symp. on Affective Science and Engineering Spokane WA USA Z. Wang D. Watabe J. Cao Real‐time grayscale dehazing scheme for car vision

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