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  • Molina, Rafael  (2)
  • Cambridge University Press  (1)
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  • 1
    Online-Ressource
    Online-Ressource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    UID:
    gbv_1823900348
    Umfang: 1 Online-Ressource(XVI, 134 p.)
    Ausgabe: 1st ed. 2007.
    ISBN: 9783031022432
    Serie: Synthesis Lectures on Image, Video, and Multimedia Processing
    Inhalt: Introduction -- Bayesian Formulation of Super-Resolution Image Reconstruction -- Low-Resolution Image Formation Models -- Motion Estimation in Super Resolution -- Estimation of High-Resolution Images -- Bayesian Inference Models in Super Resolution -- Super Resolution for Compression.
    Inhalt: 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.
    Weitere Ausg.: ISBN 9783031011153
    Weitere Ausg.: ISBN 9783031033711
    Weitere Ausg.: Erscheint auch als Druck-Ausgabe ISBN 9783031011153
    Weitere Ausg.: Erscheint auch als Druck-Ausgabe ISBN 9783031033711
    Sprache: Englisch
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 2
    Online-Ressource
    Online-Ressource
    [San Rafael] : Morgan & Claypool Publishers
    UID:
    gbv_723616795
    Umfang: 1 Online-Ressource (150 Seiten)
    Ausgabe: Electronic reproduction; Available via World Wide Web
    ISBN: 1598290851 , 9781598290851
    Serie: Synthesis Lectures on Image, Video, and Multimedia Processing #7
    Inhalt: 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
    Inhalt: 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
    Anmerkung: Description based upon print version of record , Introduction; What is super resolution of images and video?; Why and when is super resolution possible?; Applications; Book outline; Bayesian Formulation of Super-Resolution Image Reconstruction; Notation; Bayesian modeling; Bayesian inference; Hierarchical Bayesian Modeling and Inference; Low-Resolution Image Formation Models; Image Formation Models for Uncompressed Observations; The Warp--Blur Model; The Blur--Warp Model; Image Formation Models for Compressed Observations; Limits on super resolution; Motion Estimation in Super Resolution; Motion Estimation from Uncompressed Observations , Motion Estimation from Compressed ObservationsHow to Detect Unreliable Motion Estimates; Consistency of Motion Estimates for super resolution ; Some Open Issues in Motion Estimation for super resolution; Estimation of High-Resolution Images; High-resolution image estimation from uncompressed sequences; High-Resolution image estimation from compressed sequences; Some open issues in image estimation for super resolution; Bayesian Inference Models in Super Resolution; Hierarchical Bayesian Framework for Super Resolution; Inference models for super-resolution reconstruction problems , Some Open Issues in super resolution Bayesian InferencePre- and Post-Processing of Video Sequences; Including super resolution into the Compression Scheme; Region-Based Super Resolution for Compression; Motion and texture segmentation; Downsampling process; Upsampling procedure , Electronic reproduction; Available via World Wide Web , Mode of access: World Wide Web. , System requirements: PDF reader.
    Weitere Ausg.: ISBN 1598290843
    Weitere Ausg.: ISBN 9781598290844
    Weitere Ausg.: Print version Super Resolution of Images and Video
    Sprache: Englisch
    Schlagwort(e): Electronic books
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 3
    UID:
    gbv_1750531208
    Umfang: 1 Online-Ressource (1 online resource)
    Ausgabe: Second Edition
    ISBN: 9781108690935 , 1108690939
    Inhalt: "The second edition of this text is a complete revision of our first endeavor, with virtually every chapter of the original rewritten from the ground up and eight new chapters of material added, doubling the size of the first edition. Topics from the first edition, from expositions on gradient descent to those on One-versus- All classification and Principal Component Analysis have been reworked and polished. A swath of new topics have been added throughout the text, from derivative-free optimization to weighted supervised learning, feature selection, nonlinear feature engineering, boosting-based cross-validation, and more"--
    Anmerkung: First edition published 2016 , Includes bibliographical references and index
    Weitere Ausg.: ISBN 9781108480727
    Weitere Ausg.: Erscheint auch als Druck-Ausgabe Watt, Jeremy Machine learning refined New York : Cambridge University Press, 2020
    Sprache: Englisch
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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