Restoration of motion blurred images

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Resumen

Image restoration is a classic problem in image processing. Image degradations can occur due to several reasons, for instance, imperfections of imaging systems, quantization errors, atmospheric turbulence, relative motion between camera or objects, among others. Motion blur is a typical degradation in dynamic imaging systems. In this work, we present a method to estimate the parameters of linear motion blur degradation from a captured blurred image. The proposed method is based on analyzing the frequency spectrum of a captured image in order to firstly estimate the degradation parameters, and then, to restore the image with a linear filter. The performance of the proposed method is evaluated by processing synthetic and real-life images. The obtained results are characterized in terms of accuracy of image restoration given by an objective criterion.

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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