Paper Info
Title
A novel dehazing model for remote sensing images.
Abstract
The visibility of remote sensing images taken in poor environmental conditions is often degraded due to the occurrence of fog, haze, mist, and smog. To restore these images, many visibility restoration techniques have been developed. However, the existing techniques perform poorly to remove the effect of haze from remote sensing images with a complex background and large haze gradient. In this paper, a gradient profile prior is proposed to remove the haze from remote sensing images. The coarse estimated atmospheric veil has been refined by using gradient-based guided image filter. Moreover, the visibility restoration model has also been modified to overcome the over saturation and color distortion problems. Extensive experiments have shown that the proposed dehazing technique outperforms the existing image dehazing techniques. The proposed technique has significantly improved the spatial and radiometric information of remote sensing images.
Year
DOI
Venue
2018
10.1016/j.compeleceng.2018.05.015
Computers & Electrical Engineering
Keywords
Field
DocType
Dehazing,Gradient profile prior,Gradient-based guided image filter,Modified restoration model
Visibility,Mist,Computer science,Remote sensing,Composite image filter,Distortion,Haze
Journal
Volume
ISSN
Citations 
69
0045-7906
2
PageRank 
References 
Authors
0.36
16
2
Name
Order
Citations
PageRank
Dilbag Singh16715.16
Vijay Kumar222921.59