Single image dehazing by latent region‐segmentation based transmission estimation and weighted L 1 ‐norm regularisation-Reference-Cited by-同舟云学术

Single image dehazing by latent region‐segmentation based transmission estimation and weighted L 1 ‐norm regularisation

Published:2017-02 Issue:2 Volume:11 Page:145-154
ISSN:1751-9667
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Cui Tong¹²,Tian Jiandong¹,Wang Ende³,Tang Yandong¹

Affiliation:

1. State Key Laboratory of RoboticsShenyang Institute of Automation, Chinese Academy of SciencesShenyangPeople's Republic of China

2. Shenyang Institute of Automation, University of Chinese Academy of SciencesBeijingPeople's Republic of China

3. Key Laboratory of Optical‐Electronics Information ProcessingShenyang Institute of Automation, Chinese Academy of SciencesShenyangPeople's Republic of China

Funder

National Natural Science Foundation of China

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.2016.0377

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3. 2003 Proc. Int. Conf. Color and Photometric Methods in Computer Vision France S.G. Narasimhan S.K. Nayar Interactive (De)weathering of an image using physical models 1

4. 2001 Proc. Int. Conf. Computer Vision and Pattern Recognition Y.Y. Schechner S.G. Narasimhan S.K. Nayar Instant dehazing of images using polarization I‐325 I‐332

5. 2006 Proc. Int. Conf. Computer Vision and Pattern Recognition S. Shwartz E. Namer Y.Y. Schechner Blind haze separation 1984 1991

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