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Super-resolution imaging

Author: Peyman Milanfar
Publisher: Boca Raton : CRC Press, 2011.
Series: Digital imaging and computer vision
Edition/Format:   Print book : EnglishView all editions and formats
Summary:

Offers an overview of the field of super-resolution imaging. Surveying the techniques in super-resolution imaging, this title provides coverage of the implementations and applications of  Read more...

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Document Type: Book
All Authors / Contributors: Peyman Milanfar
ISBN: 9781439819302 1439819300
OCLC Number: 657270795
Description: xvii, 472 pages : illustrations ; 24 cm.
Contents: Image super-resolution: historical overview and future challenges / Jianchao Yang and Thomas Huang --
Super-resolution using adaptive wiener filters / Russell C. Hardie --
Locally adaptive kernel regression for space-time super-resolution / Hiroyuki Takeda and Peyman Milanfar --
Super-resolution with probabilistic motion estimation / Matan Protter and Michael Elad --
Spatially adaptive filtering as regularization in inverse imaging: compressive sensing, super-resolution, and upsampling / Aram Danielyan [and others] --
Registration for super-resolution: theory, algorithms, and applications in image and mobile video enhancement / Patrick Vandewalle, Luciano Sbaiz and Martin Vetterli --
Towards super-resolution in the presence of spatially varying blur / Michal S̆orel, Filip S̆roubek, and Jan Flusser --
Toward robust reconstruction-based super- resolution / Masayuki Tanaka and Masatoshi Okutomi --
Multiframe super-resolution from a Bayesian perspective / Lyndsey Pickup [and others] --
Variational Bayesian super-resolution reconstruction / S. Derin Babacan, Rafael Molina, and Aggelos K. Katsaggelos --
Pattern recognition techniques for image super-resolution / Karl Ni and Truong Q. Nguyen --
Super-resolution reconstruction of multichannel images / New applications of super-resolution in medical imaging / M. Dirk Robinson [and others] --
Practicing super-resolution: what have we learned? / Nikola Bozinovic.
Series Title: Digital imaging and computer vision
Responsibility: edited by Peyman Milanfar.

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