Super resolution of images and video
By: Katsaggelos, Aggelos Konstantinos.
Contributor(s): Mateos, Javier | Molina, Rafael.
Material type:
BookSeries: Synthesis lectures on image, video, and multimedia processing: #7.Publisher: San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool Publishers, c2007Edition: 1st ed.Description: 1 electronic document (xvi, 134 p.) : digital file.ISBN: 1598290851 (electronic bk.); 9781598290851 (electronic bk.).Uniform titles: Synthesis digital library of engineering and computer science. Subject(s): Image processing -- Digital techniques -- Mathematical models | Image processing -- Digital techniques | Image reconstruction -- Mathematical models | Resolution (Optics) -- Mathematical models | Video compression -- Mathematical models | Image processing | Video processing | Image compression | Image enhancement | Resolution enhancement | Super resolution | High resolution | SR | LR | REDDC classification: 621.36/7 Online resources: Abstract with links to resource | Abstract with links to full text | Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
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E books
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PK Kelkar Library, IIT Kanpur | Available | EBKE077 |
Mode of access: World Wide Web.
System requirements: PDF reader.
Part of: Synthesis digital library of engineering and computer science.
Series from website.
Includes bibliographical references (p. 113-127) and index.
Introduction -- Bayesian formulation of super-resolution imagereconstruction -- Low-resolution image formation models -- Motionestimation in superresolution -- Estimation of high-resolution images -- Bayesian inference models in super resolution -- Super resolution for compression -- Epilogue -- Bibliography -- Index -- Author biography.
Abstract freely available; full-text restricted to subscribers or individual document purchasers.
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INSPEC
This book focuses on the super resolution of images and video. The authors' use of the term super resolution (SR) is used to describe the process of obtaining a high resolution (HR) image, or a sequence of HR images, from a set of low resolution (LR) observations. This process has also been referred to in the literature as resolution enhancement (RE). SR has been applied primarily to spatial and temporal RE, but also to hyperspectral image enhancement. This book concentrates on motion based spatial RE, although the authors also describe motion free and hyperspectral image SR problems. Also examined is the very recent research area of SR for compression, which consists of the intentional downsampling, during pre-processing, of a video sequence to be compressed and the application of SR techniques, during post-processing, on the compressed sequence. It is clear that there is a strong interplay between the tools and techniques developed for SR and a number of other inverse problems encountered in signal processing (e.g., image restoration, motion estimation). SR techniques are being applied to a variety of fields, such as obtaining improved still images from video sequences (video printing), high definition television, high performance color Liquid Crystal Display (LCD) screens, improvement of the quality of color images taken by one CCD, video surveillance, remote sensing, and medical imaging. The authors believe that the SR/RE area has matured enough to develop a body of knowledge that can now start to provide useful and practical solutions to challenging real problems and that SR techniques can be an integral part of an image and video codec and can drive the development of new coder-decoders (codecs) and standards.
Title from PDF t.p. (viewed on Oct. 10, 2008).
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