Mixed raster content : segmentation, compression, transmission / George Pavlidis.
By: Pavlidis, George,, autor
Material type:
E-bookSeries: (Signals and Communication Technology, 1860-4862).Publisher: Singapore : Springer, [2017]Description: 1 recurso en línea (xxviii, 354 páginas).ISBN: 9789811028304; 9811028303.Subject: Codificación, Teoría de la
Online resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|
LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | TA1637 .P385 2017 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.20023119 |
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| TA1637 .I434 2016 EB Image processing and communications challenges 8 : 8th International Conference, IP&C 2016 Bydgoszcz, Poland, September 2016 Proceedings | TA1637 .I584 2017 EB International Digital Imaging Correlation Society : proceedings of the first Annual Conference, 2016 | TA1637 .N493 2016 EB New Approaches in Intelligent Image Analysis : Techniques, Methodologies and Applications | TA1637 .P385 2017 EB Mixed raster content : segmentation, compression, transmission | TA1637 .R87 2011 EB The image processing handbook | TA1637 .S546 2015 EB Signal and Image Analysis for Biomedical and Life Sciences | TA1637 .T436 2019 Digital Image Processing using SCILAB |
SpringerLink Springer Engineering eBooks 2017 English+International
Incluye referencias bibliográficas e índice
Vision and color theory -- Data coding and image compression -- Segmentation of digital images -- Compression optimization -- Transmission optimization -- MSICT encoding.
This book presents the main concepts in handling digital images of mixed content, traditionally referenced as mixed raster content (MRC), in two main parts. The first includes introductory chapters covering the scientific and technical background aspects, whereas the second presents a set of research and development approaches to tackle key issues in MRC segmentation, compression and transmission. The book starts with a review of color theory and the mechanism of color vision in humans. In turn, the second chapter reviews data coding and compression methods so as to set the background and demonstrate the complexity involved in dealing with MRC. Chapter three addresses the segmentation of images through an extensive literature review, which highlights the various approaches used to tackle MRC segmentation. The second part of the book focuses on the segmentation of color images for optimized compression, including multi-layered decomposition and representation of MRC and the processes that can be employed to optimize the coding rates of those different layers. Rounding out the coverage, the final chapter examines the segmentation of color images for optimized transmission.
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