Super-Resolution Imaging

Author:
Edition: 1
Binding: Hardcover
ISBN: 1439819300

Super-Resolution Imaging (Digital Imaging and Computer Vision)

This book functions as the definitive overview of the field of super-resolution imaging. Download Super-Resolution Imaging (Digital Imaging and Computer Vision) from rapidshare, mediafire, 4shared. Written by the leading researchers in the field of image and video super-resolution, it surveys the latest state-of-the-art techniques in super-resolution imaging. Each detailed chapter provides coverage of the implementations and applications of super-resolution imaging. Its 14 sections span a wide range of modern super-resolution imaging techniques and includes variational, Bayesian, feature-based, multi-channel, learning-based, locally adaptive, and nonparametric methods. It discusses, among others, medical, military, and remote-sensing applications. The book can be used as a reference, a basis for short-courses on the subject, or as part of a graduate Search and find a lot of engineering books in many category availabe for free download.

Download Super-Resolution Imaging

Download Super-Resolution Imaging engineering books for free. Written by the leading researchers in the field of image and video super-resolution, it surveys the latest state-of-the-art techniques in super-resolution imaging. Each detailed chapter provides coverage of the implementations and applications of super-resolution imaging. Its 14 sections span a wide range of modern super-resolution imaging techniques and includes variational, Bayesian, feature-based, multi-channel, learning-based, locally adaptive, and nonparametric methods. It discusses, among others, medical, military, and remote-sensing applications ritten by the leading researchers in the field of image and video super-resolution, it surveys the latest state-of-the-art techniques in super-resolution imaging. Each detailed chapter provides coverage of the implementations and applications of super-resolution imaging. Its 14 sections span a wide range of modern super-resolution imaging techniques and includes variational, Bayesian, feature-based, multi-channel, learning-based, locally adaptive, and nonparametric methods. It discusses, among others, medical, military, and remote-sensing applications. The book can be used as a reference, a basis for short-courses on the subject, or as part of a graduate

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