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  • 1
    Book
    Book
    Berlin ; Heidelberg : Springer-Verlag GmbH
    UID:
    b3kat_BV005485677
    Format: XIV, 243 Seiten , Illustrationen, Diagramme
    ISBN: 3540532927 , 0387532927 , 9783642635052 , 9783642582165
    Series Statement: Springer series in information sciences 23
    Note: Hier auch später erschienene, unveränderte Nachdrucke , Literaturangaben
    Language: English
    Subjects: Computer Science
    RVK:
    Keywords: Bildrekonstruktion ; Bildverarbeitung ; Bildverarbeitung ; Bilderkennung ; Signalverarbeitung ; Information Retrieval ; Wiederherstellung ; Aufsatzsammlung
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  • 2
    UID:
    b3kat_BV046429185
    Format: xxi, 574 Seiten , Illustrationen, Diagramme
    Edition: Second edition
    ISBN: 9781108480727
    Language: English
    Subjects: Computer Science , Psychology
    RVK:
    RVK:
    RVK:
    Keywords: Künstliche Intelligenz ; Maschinelles Lernen ; Kognitionswissenschaft ; Mensch-Maschine-Kommunikation
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  • 3
    UID:
    b3kat_BV011647887
    Format: XX, 288 S.: Ill., graph. Darst.
    ISBN: 0792398505
    Content: The book contains a review chapter on video compression, a background chapter on optimal bit allocation and the necessary mathematical tools, such as the Lagrangian multiplier method and Dynamic Programming. These two introductory chapters make the book self-contained and a fast way of entering this exciting field
    Content: Rate-Distortion Based Video Compression establishes a general theory for the optimal bit allocation among dependent quantizers. The minimum total (average) distortion and the minimum maximum distortion cases are discussed. This theory is then used to design efficient motion estimation schemes, video compression schemes and object boundary encoding schemes. For the motion estimation schemes, the theory is used to optimally trade the reduction of energy in the displaced frame difference (DFD) for the increase in the rate required to encode the displacement vector field (DVF). These optimal motion estimators are then used to formulate video compression schemes which achieve an optimal distribution of the available bit rate among DVF, DFD and segmentation. This optimal bit allocation results in very efficient video coders
    Content: In the last part of the book, the proposed theory is applied to the optimal encoding of object boundaries, where the bit rate needed to encode a given boundary is traded for the resulting geometrical distortion. Again, the resulting boundary encoding schemes are very efficient
    Language: English
    Keywords: Informationstheorie ; Datenverarbeitung ; Bildsignal
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  • 4
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Imprint: Springer
    UID:
    gbv_1823900348
    Format: 1 Online-Ressource(XVI, 134 p.)
    Edition: 1st ed. 2007.
    ISBN: 9783031022432
    Series Statement: Synthesis Lectures on Image, Video, and Multimedia Processing
    Content: 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.
    Content: 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.
    Additional Edition: ISBN 9783031011153
    Additional Edition: ISBN 9783031033711
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783031011153
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783031033711
    Language: English
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  • 5
    UID:
    b3kat_BV043665743
    Format: xiii, 286 Seiten , Illustrationen, Diagramme
    ISBN: 9781107123526
    Note: Literaturverzeichnis: Seite 280-284
    Language: English
    Subjects: Computer Science
    RVK:
    RVK:
    Keywords: Künstliche Intelligenz ; Maschinelles Lernen ; Kognitionswissenschaft ; Mensch-Maschine-Kommunikation
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  • 6
    Online Resource
    Online Resource
    Cham : Springer International Publishing | Cham : Springer
    UID:
    b3kat_BV048604455
    Format: 1 Online-Ressource (XI, 196 p. 122 illus., 89 illus. in color)
    Edition: 1st ed. 2022
    ISBN: 9783031195020
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-19501-3
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-19503-7
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 7
    UID:
    gbv_723616795
    Format: 1 Online-Ressource (150 Seiten)
    Edition: Electronic reproduction; Available via World Wide Web
    ISBN: 1598290851 , 9781598290851
    Series Statement: Synthesis Lectures on Image, Video, and Multimedia Processing #7
    Content: 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
    Content: 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
    Note: 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.
    Additional Edition: ISBN 1598290843
    Additional Edition: ISBN 9781598290844
    Additional Edition: Print version Super Resolution of Images and Video
    Language: English
    Keywords: Electronic books
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