15 September 2008 Image restoration based on camera microscanning
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Abstract
Common restoration techniques perform signal processing using a single observed image. In this paper we show that the accuracy of restoration could be significantly increased if at least three observed degraded images obtained from a microscanning camera are used. It is assumed that the degraded images contain information about an original image, linear degradation and illumination functions, and additive sensor's noise. Using spatial information from camera, a set of equations and objective function are formed. By solving the system of equations with the help of an iterative algorithm, the original image can be recovered. Computer simulation results presented and discussed.
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J. L. López-Martínez, Vitaly Kober, "Image restoration based on camera microscanning", Proc. SPIE 7073, Applications of Digital Image Processing XXXI, 707322 (15 September 2008); doi: 10.1117/12.793932; https://doi.org/10.1117/12.793932
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