Real-time image dehazing using local adaptive neighborhoods and dark-channel-prior

Jesus A. Valderrama, Víctor H. Díaz-Ramírez, Vitaly Kober, Enrique Hernandez

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

4 Citas (Scopus)

Resumen

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.

Idioma originalInglés
Título de la publicación alojadaOptics and Photonics for Information Processing IX
EditoresMohammad A. Matin, Abdul A. S. Awwal, Andres Marquez, Mireya Garcia Vazquez, Khan M. Iftekharuddin, Mireya Garcia Vazquez, Khan M. Iftekharuddin, Abdul A. S. Awwal, Mohammad A. Matin, Andres Marquez
EditorialSPIE
ISBN (versión digital)9781628417647, 9781628417647
DOI
EstadoPublicada - 2015
Evento9th Conference of Optics and Photonics for Information Processing - San Diego, Estados Unidos
Duración: 10 ago. 201512 ago. 2015

Serie de la publicación

NombreProceedings of SPIE - The International Society for Optical Engineering
Volumen9598
ISSN (versión impresa)0277-786X
ISSN (versión digital)1996-756X

Conferencia

Conferencia9th Conference of Optics and Photonics for Information Processing
País/TerritorioEstados Unidos
CiudadSan Diego
Período10/08/1512/08/15

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