Motion-Free Super-Resolution

By: Subhasis Chaudhuri, Joshi Manjunath

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Hardcover | 9 November 2005

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Hardcover
256 Pages

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24.77 x 17.15 x 1.91

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Motion-Free Super-Resolution is a compilation of very recent work on various methods of generating super-resolution (SR) images from a set of low-resolution images. The current literature on this topic deals primarily with the use of motion cues for the purpose of generating SR images. These cues have, it is shown, their advantages and disadvantages. In contrast, this book shows that cues other than motion can also be used for the same purpose, and addresses both the merits and demerits of these new techniques.

Motion-Free Super-Resolution supersedes much of the lead author's previous edited volume, "Super-Resolution Imaging," and includes an up-to-date account of the latest research efforts in this fast-moving field. This sequel also features a style of presentation closer to that of a textbook, with an emphasis on teaching and explanation rather than scholarly presentation.

Industry Reviews

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)

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You Can Find This Book In

Non-Fiction Engineering & Technology Other Technologies & Applied Sciences Applied Optics Imaging Systems & Technology Computing & I.T.Computer Science Image Processing Artificial Intelligence Computer Vision Graphical & Digital Media Applications Computer Programming & Software Development

Graphics Programming

Image Super-Resolution
Review of Current Status
Use of Defocus Cue
Introduction
Defocus Phenomenon
Low-resolution image formation
Modeling of Image and Scene Depth
MAP Estimation
Demonstration of Results
Discussions
Photometry Based Method
Introduction
Photometry and Scene Structure
Generalized Interpolation
Inconsistency handling
Super-resolution Estimation
Experimental Demonstration
Discussions
Blind Restoration of Photometric Observartions
Introduction
Blind Restoration
Observation Model
Joint Restoration and Structure Recovery
Demonstration
Discussions
Wavelet Based Method
Introduction
Single-Frame Super-Resolution
Wavelets and Multiresolution Analysis
Learning of Wavelet Coefficients
Super-resolution Restoration
Experimental Performance
Discussions
Use of Zoom Cue
Introduction
Problem Definition
Zoom Estimation
Super-resolving a Scene with a Known Model
Learning of Model Parameters
Experimental Demonstration
Discussions
Looking Ahead
Table of Contents provided by Publisher. All Rights Reserved.

Motion-Free Super-Resolution

At a Glance

Hardcover

Industry Reviews

Shipping

How to return your order

Defective items

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