• Produktbild: Motion-Free Super-Resolution
  • Produktbild: Motion-Free Super-Resolution
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Motion-Free Super-Resolution

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

29.10.2010

Verlag

Springer Us

Seitenzahl

239

Maße (L/B/H)

23,5/17,8/1,5 cm

Gewicht

394 g

Auflage

Softcover reprint of hardcover 1st edition 2005

Sprache

Englisch

ISBN

978-1-4419-3848-0

Beschreibung

Rezension

From the reviews:



"The authors introduce us to motionless or motion-free methods for super-resolution in this book. … is written clearly, and presents its core topics in well-organized chapters. … The basic theory of each chapter is clearly presented, and is developed in a step-by-step fashion that makes it easy to follow. This will be a good starting point for researchers who want to get involve in image super-resolution. I believe experienced researchers will also find this book useful for seeing the overall picture of the super-resolution problem." (Fatih Kurugollu, Computing Reviews, November, 2005)

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

29.10.2010

Verlag

Springer Us

Seitenzahl

239

Maße (L/B/H)

23,5/17,8/1,5 cm

Gewicht

394 g

Auflage

Softcover reprint of hardcover 1st edition 2005

Sprache

Englisch

ISBN

978-1-4419-3848-0

Herstelleradresse

Springer-Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

Email: GPSR Kontakt

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  • Produktbild: Motion-Free Super-Resolution
  • Produktbild: Motion-Free Super-Resolution
  • 1. Image Super-Resolution 2. Review of Current Status 3. Use of Defocus Cue; Introduction; Defocus Phenomenon; Low-resolution image formation; Modeling of Image and Scene Depth; MAP Estimation; Demonstration of Results; Discussions 4. Photometry Based Method; Introduction; Photometry and Scene Structure; Generalized Interpolation; Inconsistency handling; Super-resolution Estimation; Experimental Demonstration; Discussions 5. Blind Restoration of Photometric Observartions; Introduction; Blind Restoration; Observation Model; Joint Restoration and Structure Recovery; Demonstration; Discussions 6. Wavelet Based Method; Introduction; Single-Frame Super-Resolution; Wavelets and Multiresolution Analysis; Learning of Wavelet Coefficients; Super-resolution Restoration; Experimental Performance; Discussions 7. Use of Zoom Cue; Introduction; Problem Definition; Zoom Estimation; Super-resolving a Scene with a Known Model; Learning of Model Parameters; Experimental Demonstration; Discussions 8. Looking Ahead