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Restoration of motion blurred images
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Paper Abstract

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.

Paper Details

Date Published: 24 August 2017
PDF: 6 pages
Proc. SPIE 10395, Optics and Photonics for Information Processing XI, 103950J (24 August 2017); doi: 10.1117/12.2272797
Show Author Affiliations
Leopoldo N. Gaxiola, Instituto Politécnico Nacional - CITEDI (Mexico)
Rigoberto Juarez-Salazar, Instituto Politécnico Nacional - CITEDI (Mexico)
Victor H. Diaz-Ramirez, Instituto Politécnico Nacional - 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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