NDLI: Single image dehazing using local linear fusion

Content Provider	IET Digital Library
Author	Gao, Yakun Chen, Haiyan Li, Haibin Zhang, Wenming
Abstract	The authors propose a new single image dehazing method. Different from image restoration and image enhancement method, their method is based on the idea of image fusion. Image dehazing is to remove the influence of the haze between the scene and the camera. First, combined with the depth information, the haze layer is subtracted in the hazy image to improve the colour saturation, which produces the first input image. Then, the gamma correction is used on the grey image. Second, the details of the gamma correction image are enhanced to produce the second input image. Finally, the two input images are fused by local linear model to obtain the final restored image. Experimental results show that the restored image has high contrast, rich details, and without colour distortion in the sky area.
Starting Page	637
Ending Page	643
Page Count	7
ISSN	17519659
Volume Number	12
e-ISSN	17519667
Issue Number	Issue 5, May (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/12/5
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2017.0570
Journal	IET Image Processing
Publisher Date	2017-12-12
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Camera Colour Saturation Computer Vision And Image Processing Technique Gamma Correction Image Enhancement Method Grey Image Haze Layer Subtraction Image Colour Analysis Image Enhancement Image Fusion Image Restoration Image Sonsor Local Linear Image Fusion Optical, Image And Video Signal Processing Single Image Dehazing Method
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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