@inproceedings{1342b1cf6d6743d5adf08f62dabc7927,
title = "Single image dehazing using local adaptive signal processing",
abstract = "A local adaptive algorithm for single image dehazing is presented. The algorithm is able to estimate a dehazed image from an observed hazed scene by solving an objective function whose parameters are adapted to local statistics of the hazed image inside a moving window. The proposed objective function is based on a trade-off among several local rank order statistics of the dehazed signal and the mean-squared-error between the hazed and dehazed signals. In order to achieve a high-rate signal processing, the proposed algorithm is implemented in a graphics processing unit (GPU) exploiting massive parallelism. Experimental results obtained with a laboratory prototype are presented, discussed, and compared with those results obtained with existing single image dehazing methods in terms of objective metrics and computational complexity.",
keywords = "Dehazing, Locally adaptive windows, Multi-objective optimization",
author = "Valderrama, {Jesus A.} and Diaz-Ramirez, {Victor H.} and Vitaly Kober",
note = "Publisher Copyright: {\textcopyright} 2014 SPIE.; Applications of Digital Image Processing XXXVII ; Conference date: 18-08-2014 Through 21-08-2014",
year = "2014",
doi = "10.1117/12.2062770",
language = "Ingl{\'e}s",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Tescher, {Andrew G.}",
booktitle = "Applications of Digital Image Processing XXXVII",
address = "Estados Unidos",
}