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Iterative-Interpolation Super-Resolution Image Reconstruction [electronic resource] : A Computationally Efficient Technique / by Vivek Bannore.

By: Contributor(s): Material type: TextTextSeries: Studies in Computational Intelligence ; 195Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009Description: XIII, 113 p. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783642003851
Subject(s): Additional physical formats: Printed edition:: No titleDDC classification:
  • 519 23
LOC classification:
  • TA329-348
  • TA640-643
Online resources:
Contents:
to Super-Resolution -- Overview of Super-Resolution Techniques -- Iterative-Interpolation Super-Resolution (IISR) -- Optimization Approach to Super-Resolution Image Reconstruction -- Image Registration for Super-Resolution -- Software Framework -- Conclusion and Future Directions.
In: Springer eBooksSummary: This book presents a novel and hybrid, computationally efficient, reconstruction scheme for solving the problem of super-resolution restoration of high-resolution images from sequences of geometrically warped, aliased and under-sampled low-resolution images. The scheme proposed is referred as the Iterative-Interpolation Super-Resolution (IISR) technique. The optimization-based technique for super-resolution is reinvestigated for comparative analysis to evaluate the accuracy and efficiency of the IISR technique. The significant influence of the regularization term over the fidelity of reconstruction is also analysed. The IISR technique addresses the problem of super-resolution image enhancement in terms of maintaining highest fidelity of reconstruction and a low computational cost to achieve maximum applicability of super-resolution to the real-world applications.
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E-Book E-Book Central Library Available E-45622

to Super-Resolution -- Overview of Super-Resolution Techniques -- Iterative-Interpolation Super-Resolution (IISR) -- Optimization Approach to Super-Resolution Image Reconstruction -- Image Registration for Super-Resolution -- Software Framework -- Conclusion and Future Directions.

This book presents a novel and hybrid, computationally efficient, reconstruction scheme for solving the problem of super-resolution restoration of high-resolution images from sequences of geometrically warped, aliased and under-sampled low-resolution images. The scheme proposed is referred as the Iterative-Interpolation Super-Resolution (IISR) technique. The optimization-based technique for super-resolution is reinvestigated for comparative analysis to evaluate the accuracy and efficiency of the IISR technique. The significant influence of the regularization term over the fidelity of reconstruction is also analysed. The IISR technique addresses the problem of super-resolution image enhancement in terms of maintaining highest fidelity of reconstruction and a low computational cost to achieve maximum applicability of super-resolution to the real-world applications.

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