Super-Resolution Imaging

Author:   Subhasis Chaudhuri
Publisher:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of the original 1st ed. 2002
Volume:   632
ISBN:  

9781475774771


Pages:   280
Publication Date:   17 March 2013
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Super-Resolution Imaging


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Overview

Super-Resolution Imaging serves as an essential reference for both academicians and practicing engineers. It can be used both as a text for advanced courses in imaging and as a desk reference for those working in multimedia, electrical engineering, computer science, and mathematics. The first book to cover the new research area of super-resolution imaging, this text includes work on the following groundbreaking topics: Image zooming based on wavelets and generalized interpolation; Super-resolution from sub-pixel shifts; Use of blur as a cue; Use of warping in super-resolution; Resolution enhancement using multiple apertures; Super-resolution from motion data; Super-resolution from compressed video; Limits in super-resolution imaging. Written by the leading experts in the field, Super-Resolution Imaging presents a comprehensive analysis of current technology, along with new research findings and directions for future work.

Full Product Details

Author:   Subhasis Chaudhuri
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of the original 1st ed. 2002
Volume:   632
Dimensions:   Width: 15.50cm , Height: 1.60cm , Length: 23.50cm
Weight:   0.456kg
ISBN:  

9781475774771


ISBN 10:   147577477
Pages:   280
Publication Date:   17 March 2013
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Image Zooming: Use of Wavelets.- Generalized Interpolation for Super-Resolution.- Reconstruction of a High Resolution Image from Multiple Low Resolution Images.- Super-Resolution Imaging Using Blur as a Cue.- Super-Resolution via Image Warping.- Resolution Enhancement Using Multiple Apertures.- Super-Resolution from Multiple Images Having Arbitrary Mutual Motion.- Super-Resolution from Compressed Video.- Super-Resolution: Limits and Beyond.

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