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Motion-Free Super-Resolution

By: Chaudhuri, Subhasis [author.].
Contributor(s): Joshi, Manjunath V [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookPublisher: Boston, MA : Springer US, 2005.Description: XIII, 239 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9780387259086.Subject(s): Computer science | Multimedia information systems | Computer graphics | Image processing | Computer Science | Computer Imaging, Vision, Pattern Recognition and Graphics | Multimedia Information Systems | Computer Graphics | Image Processing and Computer VisionDDC classification: 006.6 Online resources: Click here to access online
Contents:
Research on Image Super-Resolution -- Use of Defocus Cue -- Photometry Based Method -- Blind Restoration of Photometric Observations -- Use of Learnt Wavelet Coefficients -- Extension of Generalized Interpolation to Eigen Decomposition -- Use of Zoom Cue -- Looking Ahead.
In: Springer eBooksSummary: With the explosion of Internet technology and graphics engines, digital images are now everywhere. Image capturing tools are all pervading - in our pockets to inside a satellite. And although imaging applications demand an availability to high resolution images, such images are not picture perfect and may be lacking sufficient details. This requires that these images be super-resolved for improved details. How to achieve this is what constitutes research in the area of image super-resolution. Motion-Free Super-Resolution explores new technology for image super-resolution - applying cues other than the motion cue in super-resolving a scene. This book will serve as an essential reference for both academecians and practicing engineers in the area of image processing and computer vision, as well as providing a basis for ongoing research in this field.
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E books E books PK Kelkar Library, IIT Kanpur
Available EBK106
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Research on Image Super-Resolution -- Use of Defocus Cue -- Photometry Based Method -- Blind Restoration of Photometric Observations -- Use of Learnt Wavelet Coefficients -- Extension of Generalized Interpolation to Eigen Decomposition -- Use of Zoom Cue -- Looking Ahead.

With the explosion of Internet technology and graphics engines, digital images are now everywhere. Image capturing tools are all pervading - in our pockets to inside a satellite. And although imaging applications demand an availability to high resolution images, such images are not picture perfect and may be lacking sufficient details. This requires that these images be super-resolved for improved details. How to achieve this is what constitutes research in the area of image super-resolution. Motion-Free Super-Resolution explores new technology for image super-resolution - applying cues other than the motion cue in super-resolving a scene. This book will serve as an essential reference for both academecians and practicing engineers in the area of image processing and computer vision, as well as providing a basis for ongoing research in this field.

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