7 September 2010 Image restoration of nonuniformly illuminated images with camera microscanning
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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.
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J. L. López-Martínez, J. L. López-Martínez, Vitaly Kober, Vitaly Kober, } "Image restoration of nonuniformly illuminated images with camera microscanning", Proc. SPIE 7798, Applications of Digital Image Processing XXXIII, 77982D (7 September 2010); doi: 10.1117/12.860026; https://doi.org/10.1117/12.860026


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