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Image dehazing using morphological opening, dilation and Gaussian filtering

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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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Acknowledgements

Sebastián Salazar-Colores wants to thank CONACYT (Consejo Nacional de Ciencia y Tecnología) for the financial support of his Ph.D. studies.

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Authors and Affiliations

  1. Facultad de Informática - Facultad de Ingeniería, Universidad Autónoma de Querétaro, Santiago de Querétaro, Querétaro, Mexico

    Sebastián Salazar-Colores, Juan-Manuel Ramos-Arreguín, César Javier Ortiz Echeverri, Jesus-Carlos Pedraza-Ortega & Juvenal Rodriguez-Resendiz

  2. División de Ingenierías, Campus Irapuato-Salamanca, Universidad de Guanajuato, Salamanca, Guanajuato, Mexico

    Eduardo Cabal-Yepez

Authors
  1. Sebastián Salazar-Colores
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  2. Juan-Manuel Ramos-Arreguín
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  3. César Javier Ortiz Echeverri
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  4. Eduardo Cabal-Yepez
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  5. Jesus-Carlos Pedraza-Ortega
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  6. Juvenal Rodriguez-Resendiz
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Correspondence to Juan-Manuel Ramos-Arreguín.

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Salazar-Colores, S., Ramos-Arreguín, JM., Ortiz Echeverri, C.J. et al. Image dehazing using morphological opening, dilation and Gaussian filtering. SIViP 12, 1329–1335 (2018). https://doi.org/10.1007/s11760-018-1286-9

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  • DOI: https://doi.org/10.1007/s11760-018-1286-9

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