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Titlebook: Handbook of Mathematical Methods in Imaging; Otmar Scherzer Reference work 2015Latest edition Springer Science+Business Media New York 201

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Iterative Solution Methodsve algorithms such as Kaczmarz, expectation maximization, and Bregman iterations. Our intention here is to cite convergence results in the sense of regularization and to provide further references to the literature.
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Level Set Methods for Structural Inversion and Image Reconstructionresented which have been developed and proposed in the literature since the publication of the original (and seminal) paper by F. Santosa in 1996 on this topic. The emphasis of this chapter, however, is not so much on providing an exhaustive overview of all ideas developed so far but on the goal of
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Synthetic Aperture Radar Imaginghistorical background, the chapter includes a derivation of an approximate scalar model for radar data. The basics in inverse synthetic aperture radar (ISAR) are discussed, and a connection is made with the Radon transform. Two types of synthetic aperture radar (SAR), namely, spotlight SAR and strip
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Tomographyber of lines of known locations. We touch upon the computational and mathematical procedures underlying the data collection, image reconstruction, and image display in the practice of tomography. The emphasis is on reconstruction methods, especially the so-called series expansion reconstruction algo
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Christiane Pöschl,Otmar Scherzeripheral on the other. Data transfer, described in Section 4.3, between the microprocessor and a memory cell of the main memory is the basis for this transmission; however, data transfer with peripherals generally requires more control. The reasons are that peripherals have to be started and stopped,
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