Real-time image dehazing using genetic programming

Jose Enrique Hernandez-Beltran, Victor H. Diaz-Ramirez, Rigoberto Juarez-Salazar

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Resumen

A real-time system for restoration of images degraded by haze is presented. First, a transmission function estimator is automatically constructed using genetic programming. Next, the resultant estimator is employed to compute the transmission function of the scene by processing an input hazy image. Finally, the estimated transmission function and the hazy image are used in a restoration model based on atmospheric optics to obtain a haze-free image. The proposed method is implemented in a laboratory prototype for high-rate image processing. The performance of the proposed approach is evaluated in terms of objective metrics using synthetic and real-world images.

Idioma originalInglés
Título de la publicación alojadaOptics and Photonics for Information Processing XIII
EditoresKhan M. Iftekharuddin, Abdul A. S. Awwal, Victor H. Diaz-Ramirez, Andres Marquez
EditorialSPIE
ISBN (versión digital)9781510629653
DOI
EstadoPublicada - 2019
EventoOptics and Photonics for Information Processing XIII 2019 - San Diego, Estados Unidos
Duración: 13 ago. 201914 ago. 2019

Serie de la publicación

NombreProceedings of SPIE - The International Society for Optical Engineering
Volumen11136
ISSN (versión impresa)0277-786X
ISSN (versión digital)1996-756X

Conferencia

ConferenciaOptics and Photonics for Information Processing XIII 2019
País/TerritorioEstados Unidos
CiudadSan Diego
Período13/08/1914/08/19

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