Super-Resolution Imaging

This book functions as the definitive overview of the field of super-resolution imaging. Written by the leading researchers in the field of image and video super-resolution, it surveys state-of-the-art techniques, and each detailed chapter covers the implementations and applications of super-resolut...

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Bibliographic Details
Main Author Milanfar, Peyman
Format eBook Book
LanguageEnglish
Published United States CRC Press 2017
Taylor & Francis Group
Edition1
SeriesDigital imaging and computer vision
Subjects
Computer programming, programs, data
Digital techniques
High resolution imaging
Image processing
Image processing > Digital techniques
LR Image
NLM
Sr Result
Nonlocal Means
Image Prior
Super-resolution Algorithms
Registration Parameters
Observation Model
SR Method
Blind Source Separation
Low Resolution Images
Psf
Bicubic Interpolation
HSV Color Space
Hr Image
Pixel Selection
Low Resolution Observations
Decimation Operators
Motion Estimation
Motion Vectors
SR Reconstruction
Hyper-spectral Images
SDOCT Image
PSNR Value
FFT Spectrum
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Summary:This book functions as the definitive overview of the field of super-resolution imaging. Written by the leading researchers in the field of image and video super-resolution, it surveys state-of-the-art techniques, and each detailed chapter covers the implementations and applications of super-resolution imaging. Its 14 sections span a wide range of modern super-resolution imaging methods 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 course on digital image processing.
Bibliography:Includes bibliographical references and index
ISBN:9781439819319
1439819319
1439819300
9781439819302
DOI:10.1201/9781439819319