Image dehazing using morphological opening,dilation and Gaussian filtering |
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Authors: | Sebastián Salazar-Colores Juan-Manuel Ramos-Arreguín César Javier Ortiz Echeverri Eduardo Cabal-Yepez Jesus-Carlos Pedraza-Ortega Juvenal Rodriguez-Resendiz |
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Affiliation: | 1.Facultad de Informática - Facultad de Ingeniería,Universidad Autónoma de Querétaro,Santiago de Querétaro,Mexico;2.División de Ingenierías, Campus Irapuato-Salamanca,Universidad de Guanajuato,Salamanca,Mexico |
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Abstract: | Image pre-processing is a critical stage in computer vision systems, with greater relevance when the input images are captured in outdoor environments because the pictures could contain low contrast and modified colors. A common condition present in outdoor images is haze. In this work, a new dehazing algorithm based on dark channel prior mathematical morphology operations (opening and dilation), and a Gaussian filter, is proposed. Moreover, the proposed algorithm performance is compared qualitatively and quantitatively against previously reported algorithms. Obtained results show that the proposed algorithm requires less processing time providing higher quality dehazing results than other state-of-the-art approaches. |
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