Title
Underwater Single Image Color Restoration Using Haze-Lines and a New Quantitative Dataset
Abstract
Underwater images suffer from color distortion and low contrast, because light is attenuated while it propagates through water. Attenuation under water varies with wavelength, unlike terrestrial images where attenuation is assumed to be spectrally uniform. The attenuation depends both on the water body and the 3D structure of the scene, making color restoration difficult. Unlike existing single un...
Year
DOI
Venue
2018
10.1109/TPAMI.2020.2977624
IEEE Transactions on Pattern Analysis and Machine Intelligence
Keywords
DocType
Volume
Image color analysis,Attenuation,Image restoration,Channel estimation,Three-dimensional displays,Cameras,Optical attenuators
Journal
43
Issue
ISSN
Citations 
8
0162-8828
3
PageRank 
References 
Authors
0.37
0
4
Name
Order
Citations
PageRank
Dana Berman1501.81
Deborah Levy241.17
Shai Avidan33291208.12
Tali Treibitz417813.09