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050 4 _aTA1637
_b.P385 2017 EB
100 1 _aPavlidis, George,
_eautor
245 1 0 _aMixed raster content :
_bsegmentation, compression, transmission
_cGeorge Pavlidis.
264 1 _aSingapore
_bSpringer
_c[2017]
300 _a1 recurso en línea (xxviii, 354 páginas)
336 _aTexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 0 _aSignals and Communication Technology
_x1860-4862
500 _aSpringerLink
_bSpringer Engineering eBooks 2017 English+International
504 _aIncluye referencias bibliográficas e índice
505 0 _aVision and color theory -- Data coding and image compression -- Segmentation of digital images -- Compression optimization -- Transmission optimization -- MSICT encoding.
520 3 _aThis 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.
650 7 _aCodificación, Teoría de la
_2embne
_0(OCoLC)fst00866237
_0
_9666753
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-981-10-2830-4
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
988 _aEBOOK, asignarmaterias, EBSPRINGER_2017C
998 _b02/2018
_dz
_e-
_zSI
999 _c95514
_d95514
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