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Proceedings Paper

Image restoration of nonuniformly illuminated images with camera microscanning
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Paper Abstract

Various techniques for image recovery from degraded observed images were proposed. Most of the methods deal with linear degradations and carry out signal processing using a single observed image. In this paper multiplicative, additive, and impulsive image degradations are investigated. We propose restoration algorithms based on three observed degraded images obtained from a microscanning camera. It is assumed that degraded images contain information about an original image, illumination function, and noise. Using three degraded images and mathematical model of degradation a set of equations is formed. By solving the system of equations with the help of an iterative algorithm the original image is recovered.

Paper Details

Date Published: 8 September 2010
PDF: 8 pages
Proc. SPIE 7798, Applications of Digital Image Processing XXXIII, 77982D (8 September 2010); doi: 10.1117/12.860026
Show Author Affiliations
J. L. López-Martínez, Ctr. de Investigación Científica y de Educación Superior de Ensenada (Mexico)
Univ. Autómata de Yucatán (Mexico)
Vitaly Kober, Ctr. de Investigación Científica y de Educación Superior de Ensenada (Mexico)


Published in SPIE Proceedings Vol. 7798:
Applications of Digital Image Processing XXXIII
Andrew G. Tescher, Editor(s)

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