Restoration of degraded images using stereo vision

José Enrique Hernández-Beltrán, Victor H. Díaz-Ramírez, Rigoberto Juarez-Salazar

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

Resumen

Image restoration consists in retrieving an original image by processing captured images of a scene which are degraded by noise, blurring or optical scattering. Commonly restoration algorithms utilize a single monocular image of the observed scene by assuming a known degradation model. In this approach, valuable information of the three dimensional scene is discarded. This work presents a locally-adaptive algorithm for image restoration by employing stereo vision. The proposed algorithm utilizes information of a three-dimensional scene as well as local image statistics to improve the quality of a single restored image by processing pairs of stereo images. Computer simulations results obtained with the proposed algorithm are analyzed and discussed in terms of objective metrics by processing stereo images degraded by optical scattering.

Idioma originalInglés
Título de la publicación alojadaOptics and Photonics for Information Processing XI
EditoresVictor H. Diaz-Ramirez, Andres Marquez, Abdul A. S. Awwal, Mireya Garcia Vazquez, Khan M. Iftekharuddin
EditorialSPIE
ISBN (versión digital)9781510612471
DOI
EstadoPublicada - 2017
EventoOptics and Photonics for Information Processing XI 2017 - San Diego, Estados Unidos
Duración: 7 ago. 20178 ago. 2017

Serie de la publicación

NombreProceedings of SPIE - The International Society for Optical Engineering
Volumen10395
ISSN (versión impresa)0277-786X
ISSN (versión digital)1996-756X

Conferencia

ConferenciaOptics and Photonics for Information Processing XI 2017
País/TerritorioEstados Unidos
CiudadSan Diego
Período7/08/178/08/17

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