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Valderrama J.A.,Instituto Politcnico Nacional CITEDI | Diaz-Ramirez V.H.,Instituto Politcnico Nacional CITEDI | Kober V.,CICESE | Kober V.,Chelyabinsk State University | Hernandez E.,Instituto Politcnico Nacional CITEDI
Proceedings of SPIE - The International Society for Optical Engineering | Year: 2015

A real-time algorithm for single image dehazing is presented. The algorithm is based on calculation of local neighborhoods of a hazed image inside a moving window. The local neighborhoods are constructed by computing rank-order statistics. Next the dark-channel-prior approach is applied to the local neighborhoods to estimate the transmission function of the scene. By using the suggested approach there is no need for applying a refining algorithm to the estimated transmission such as the soft matting algorithm. To achieve high-rate signal processing the proposed algorithm is implemented exploiting massive parallelism on a graphics processing unit (GPU). Computer simulation results are carried out to test the performance of the proposed algorithm in terms of dehazing efficiency and speed of processing. These tests are performed using several synthetic and real images. The obtained results are analyzed and compared with those obtained with existing dehazing algorithms. © 2015 SPIE.

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