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Proceedings Paper

Restoration of degraded images using stereo vision
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Paper Abstract

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.

Paper Details

Date Published: 24 August 2017
PDF: 6 pages
Proc. SPIE 10395, Optics and Photonics for Information Processing XI, 103950H (24 August 2017); doi: 10.1117/12.2274892
Show Author Affiliations
José Enrique Hernández-Beltrán, IPN-CITEDI (Mexico)
Victor H. Díaz-Ramírez, IPN-CITEDI (Mexico)
Rigoberto Juarez-Salazar, CONACYT-IPN-CITEDI (Mexico)

Published in SPIE Proceedings Vol. 10395:
Optics and Photonics for Information Processing XI
Khan M. Iftekharuddin; Abdul A. S. Awwal; Mireya García Vázquez; Andrés Márquez; Víctor H. Diaz-Ramirez, Editor(s)

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