LEADER 03475nam 22005895 450 001 9910149596803321 005 20200705231801.0 010 $a9789811028304 024 7 $a10.1007/978-981-10-2830-4 035 $a(CKB)3710000000928205 035 $a(DE-He213)978-981-10-2830-4 035 $a(MiAaPQ)EBC4731718 035 $a(PPN)197137962 035 $a(EXLCZ)993710000000928205 100 $a20161102d2017 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMixed Raster Content $eSegmentation, Compression, Transmission /$fby George Pavlidis 205 $a1st ed. 2017. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2017. 215 $a1 online resource (XXVIII, 354 p. 260 illus., 103 illus. in color.) 225 1 $aSignals and Communication Technology,$x1860-4862 311 $a981-10-2829-X 311 $a981-10-2830-3 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aVision and color theory -- Data coding and image compression -- Segmentation of digital images -- Compression optimization -- Transmission optimization -- MSICT encoding. 330 $aThis book presents the main concepts in handling digital images of mixed content, traditionally referenced as mixed raster content (MRC), in two main parts. The first includes introductory chapters covering the scientific and technical background aspects, whereas the second presents a set of research and development approaches to tackle key issues in MRC segmentation, compression and transmission. The book starts with a review of color theory and the mechanism of color vision in humans. In turn, the second chapter reviews data coding and compression methods so as to set the background and demonstrate the complexity involved in dealing with MRC. Chapter three addresses the segmentation of images through an extensive literature review, which highlights the various approaches used to tackle MRC segmentation. The second part of the book focuses on the segmentation of color images for optimized compression, including multi-layered decomposition and representation of MRC and the processes that can be employed to optimize the coding rates of those different layers. Rounding out the coverage, the final chapter examines the segmentation of color images for optimized transmission. 410 0$aSignals and Communication Technology,$x1860-4862 606 $aSignal processing 606 $aImage processing 606 $aSpeech processing systems 606 $aOptical data processing 606 $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 615 0$aSignal processing. 615 0$aImage processing. 615 0$aSpeech processing systems. 615 0$aOptical data processing. 615 14$aSignal, Image and Speech Processing. 615 24$aImage Processing and Computer Vision. 676 $a621.367 700 $aPavlidis$b George$4aut$4http://id.loc.gov/vocabulary/relators/aut$0855649 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910149596803321 996 $aMixed Raster Content$91910339 997 $aUNINA