George Pavlidis

Mixed Raster Content

Segmentation, Compression, Transmission

• Gebundenes Buch

Produktbeschreibung

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 MRCand 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.

Produktdetails

• Signals and Communication Technology
• Verlag: Springer / Springer Nature Singapore / Springer, Berlin
• Artikelnr. des Verlages: 978-981-10-2829-8
• 1st ed. 2017
• Seitenzahl: 384
• Erscheinungstermin: 11. November 2016
• Englisch
• Abmessung: 241mm x 160mm x 27mm
• Gewicht: 684g
• ISBN-13: 9789811028298
• ISBN-10: 981102829X
• Artikelnr.: 45719302

Autorenporträt

Dr. Pavlidis received his Diploma (BSc) in Electrical Engineering from the Electrical and Computer Engineering Department (ECE) of Democritus University of Thrace (DUTh) in 1995. In 2005, he received his PhD degree from ECE/DUTh, working in the field of digital image processing, earning the distinction of the Ericsson Awards of Excellence. Since 1991 he has been working for many research and development projects with emphasis on multimedia as means and tools for knowledge, culture dissemination and learning. In many of these projects he has been the supervisor of work groups, as well as the technical and scientific supervisor. Concurrently, he has been working as a seminar instructor on ICTs and specialized multimedia production and authoring. During his work on his PhD he was assigned the teaching assistance for undergraduate courses at the ECE/DUTh. During 1996-1997 he was employed by the Research Committee of DUTh in the research projects administration office. In 2002 he joined theCultural & Educational Technology Institute (CETI) as a special technical scientist in the Multimedia Dept. As of 2006 Dr. Pavlidis was a Researcher at CETI and as of 2012 he is a Principal Researcher at ILSP. He is now the head of the Multimedia Department and the head of research at "Clepsydra" Cultural Heritage Digitization Center. He has been an adjunct lecturer at the Departments of Electrical and Computer Engineering and Architectural Engineering of DUTh, as well as the Department of Informatics and Telecommunications of the Technological Educational Institution of Serres. He has supervised the internship of many students from Greece and abroad. His current research interests involve 2D/3D imaging, multimedia technologies, human-computer interaction, intelligent user interfaces, multi-sensory environments and ambient intelligence, 3D digitization and 3D representations, 3D-GIS and virtual reality. Dr Pavlidis is a reviewer for international scientific conferences and journals, evaluator for R&D projects. He is a certified educator of the "Information Society" (Ministry of Education), a member of the Hellenic Technical Chamber and of the IEEE. 

Inhaltsangabe

Vision and color theory.- Data coding and image compression.- Segmentation of digital images.- Compression optimization.- Transmission optimization.- MSICT encoding.

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Vision and color theory.- Data coding and image compression.- Segmentation of digital images.- Compression optimization.- Transmission optimization.- MSICT encoding.