RT Journal Article
T1 Automatic Red-Channel underwater image restoration
A1 Galdran, Adrian
A1 Pardo, David
A1 Picon, Artzai
A1 Alvarez-Gila, Aitor
AB Underwater images typically exhibit color distortion and low contrast as a result of the exponential decay that light suffers as it travels. Moreover, colors associated to different wavelengths have different attenuation rates, being the red wavelength the one that attenuates the fastest. To restore underwater images, we propose a Red Channel method, where colors associated to short wavelengths are recovered, as expected for underwater images, leading to a recovery of the lost contrast. The Red Channel method can be interpreted as a variant of the Dark Channel method used for images degraded by the atmosphere when exposed to haze. Experimental results show that our technique handles gracefully artificially illuminated areas, and achieves a natural color correction and superior or equivalent visibility improvement when compared to other state-of-the-art methods.
YR 2015
FD 2015-01
LA eng
NO Galdran , A , Pardo , D , Picon , A & Alvarez-Gila , A 2015 , ' Automatic Red-Channel underwater image restoration ' , unknown , vol. unknown , pp. 132-145 . https://doi.org/10.1016/j.jvcir.2014.11.006
NO Publisher Copyright: © 2014 Elsevier Inc.
DS TECNALIA Publications
RD 1 jul 2024