Titlebook: Super-Resolution Imaging; Subhasis Chaudhuri Book 2000 Springer Science+Business Media New York 2000 Apertur.Interpolation.Koma.computer.e

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Reconstruction of a High Resolution Image from Multiple Low Resolution Images,onsidered. The low resolution images are possibly degraded by unknown blurs and their sub-pixel shifts are not known. This problem is described in the frequency and spatial domains. Algorithms for providing solutions to it are reviewed. In addition, two approaches are presented in detail for solving

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Resolution Enhancement Using Multiple Apertures,ch produces an improved resolution image with sufficiently high signal-to-noise ratio by processing and integrating multiple images taken simultaneously with multiple cameras. Originally, in this approach, we used multiple cameras with the same pixel aperture, but in this case there needs to be seve

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Super-Resolution from Multiple Images Having Arbitrary Mutual Motion,ution process creates high-resolution pictures of regions that are sampled in multiple frames, having a higher spatial resolution than the original video frames..In this chapter existing super resolution algorithms are analyzed in the framework of the solution of large sparse linear equations. It is

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