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Selbst komplexe Bildverarbeitungsaufgaben sind heute auf gängigen PCs und Workstations lösbar und damit jedem Studenten, Wissenschaftler und Ingenieur zugänglich. Dieses Standardwerk vermittelt Anwendern erfolgreich das Know-how der digitalen Bildverarbeitung – von den Grundlagen bis zu den modernen Konzepten. Die siebte Auflage ist an die Erfordernisse der Master-Studiengänge angepasst worden, enthält viel neues Material und ist neu gegliedert in die drei Teile Bildgewinnung, Bildverarbeitung und Bildanalyse. Speziell der Bildgewinnung ist in der neuen Auflage viel Aufmerksamkeit gewidmet worden, um dem sich schnell entwickelnden Gebiet des "Computational Imaging" Rechnung zu tragen. Zu jedem Kapitel gibt es im Internet Übungsaufgaben und interaktive Computerübungen. Diese können mit Hilfe einer Demosoftware bearbeitet werden. Dazu gibt es eine reichhaltige Sammlung von Bildern, Bildsequenzen und Volumenbildern. Zu jedem Kapitel gibt es im Internet Übungsaufgaben und interaktive Computerübungen. Diese können mit Hilfe einer Demosoftware bearbeitet werden. Dazu gibt es eine reichhaltige Sammlung von Bildern, Bildsequenzen und Volumenbildern.

Signal processing. --- Image processing. --- Speech processing systems. --- Optical data processing. --- Physical measurements. --- Measurement   . --- Control engineering. --- Robotics. --- Mechatronics. --- Radiology. --- Signal, Image and Speech Processing. --- Image Processing and Computer Vision. --- Measurement Science and Instrumentation. --- Control, Robotics, Mechatronics. --- Imaging / Radiology.

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Mathematik in Aktion im Zentrum der technologischen Forschung und Entwicklung. In diesem Buch geht es um die Rolle der Mathematik in zahlreichen technologischen Anwendungen. Die ausgewählten Anwendungen sind überwiegend modern und geben den Studenten einen Einblick in die Mathematik in Aktion. Das Buch ist hauptsächlich für Studenten der mittleren und höheren Studienjahre konzipiert, da eine gewisse mathematische Reife erforderlich ist. Der Text eignet sich auch für angehende Gymnasiallehrer. Es werden jedoch nur Grundkenntnisse der linearen Algebra, der Wahrscheinlichkeitstheorie, der euklidischen Geometrie und der Funktionen mehrerer Variabler vorausgesetzt. Das Buch behandelt noch viele weitere Themen, aber alle notwendigen mathematischen Werkzeuge (Gruppentheorie, endliche Körper usw.) werden auf elementare Weise eingeführt und in die Darstellung des betreffenden Themas eingearbeitet. Zu den ausgewählten Themen gehören: Kryptografie mit öffentlichem Schlüssel, fehlerkorrigierende Codes, das Global Positioning System (GPS) und Kartografie, Bildkompression mit Fraktalen und JPEG-Format, digitalisierte Musikwiedergabe, Roboterbewegung, DNA-Computing, Googles PageRank-Algorithmus, Sparen und Kredite, Gammastrahlenchirurgie und Zufallszahlengeneratoren. Die Kapitel können unabhängig voneinander behandelt werden. Einige Kapitel untergliedern sich in einen elementaren Teil und einen fortgeschrittenen Teil. An alle Kapitel schließen sich Übungsaufgaben an. Das Buch stellt einige Aspekte der Mathematik vor, die nicht Bestandteil einer typischen Mathematikausbildung sind: die Leistungsstärke der mathematischen Werkzeuge außerhalb der reinen Mathematik, die Rolle der Modellbildung sowie die Wechselwirkung zwischen technologischen und mathematischen Entwicklungen. Der Text präsentiert die Mathematik als elegantes wissenschaftliches Gebiet, dessen zahlreiche Anwendungen dazu beigetragen haben, unser Verständnis der uns umgebenden Welt zu formen und zu vertiefen.

Mathematics. --- Algebra. --- Field theory (Physics). --- Fourier analysis. --- Applied mathematics. --- Engineering mathematics. --- Calculus of variations. --- Optical data processing. --- Mathematics, general. --- Field Theory and Polynomials. --- Fourier Analysis. --- Applications of Mathematics. --- Calculus of Variations and Optimal Control; Optimization. --- Image Processing and Computer Vision.

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The “digital revolution” of the last two decades has pervaded innumerable aspects of our daily lives and changed our planet irreversibly. The shift from analog to digital broadcasting has facilitated a seemingly infinite variety of new applications—audience interactivity being but one example. The greater efficiency and compression of digital media have endowed broadcasters with a “digital dividend” of spare transmission capacity over and above the requirements of terrestrial broadcasting. The question is, who will use it, and how? Comparing the European experience with that of broadcasters elsewhere in the world, the author sketches the current status of international frequency management, quantifies the value of the “dividend” itself, analyzes the details of the analog-to-digital switchovers already completed, and posits what the future holds for the sector. As we grapple with new devices, inconceivable a mere generation ago, that allow us to access digital media instantly, anywhere and at any time of day, this book is a potent reminder that what we have witnessed so far may be just the first wavering steps along a road whose destination we can only guess at.

Digital audio broadcasting. --- Radio broadcasting. --- Broadcasting --- Electrical & Computer Engineering --- Engineering & Applied Sciences --- Electrical Engineering --- Telecommunications --- Radio --- Radio industry and trade --- Broadcasting, Digital audio --- DAB (Broadcasting) --- Digital radio transmission --- Engineering. --- Management. --- Industrial management. --- Image processing. --- Electrical engineering. --- Communications Engineering, Networks. --- Signal, Image and Speech Processing. --- Innovation/Technology Management. --- Image Processing and Computer Vision. --- Freedom of information --- Government publicity --- Mass media --- Digital communications

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The data deluge problem is increasing. Every day the results of scientific experiments, monitoring instruments, medical analysis, and social networks add petabytes to the world’s information. Many future experiments will generate data that will be substantially more than has been collected throughout history. How can we effectively translate this into meaningful information, particularly if there is a time critical element to the data? Although Moore’s law results in an ever-decreasing cost of processing, storage, and transmission – so that the data can be stored and transmitted – it does not necessarily follow that the data can be processed effectively. Visual analytics seeks to facilitate analytical reasoning supported by interactive visual interfaces in order to integrate the human into the analysis process. Expanding the Frontiers of Visual Analytics and Visualization contains international contributions by leading researchers from within the field. Dedicated to the memory of Jim Thomas, the book begins with the dynamics of evolving a vision based on some of the principles that Jim and colleagues established and in which Jim’s leadership was evident. This is followed by chapters in the areas of visual analytics, visualization, interaction, modelling, architecture, and virtual reality, before concluding with the key area of technology transfer to industry. Visual analytics and visualization bring together the areas of computer science, information visualization, cognitive and perceptual sciences, interactive design, graphic design, and social sciences.

Information visualization. --- Visual analytics. --- Visual analytics --- Information visualization --- Engineering & Applied Sciences --- Electrical & Computer Engineering --- Computer Science --- Electrical Engineering --- Data visualization --- Visualization of information --- Analytics, Visual --- Computer science. --- User interfaces (Computer systems). --- Computer graphics. --- Image processing. --- Computer Science. --- User Interfaces and Human Computer Interaction. --- Computer Imaging, Vision, Pattern Recognition and Graphics. --- Image Processing and Computer Vision. --- Information science --- Reasoning --- Computer vision. --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Informatics --- Science --- Optical data processing. --- Optical computing --- Visual data processing --- Bionics --- Electronic data processing --- Integrated optics --- Photonics --- Computers --- Interfaces, User (Computer systems) --- Human-machine systems --- Human-computer interaction --- Optical equipment

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Matrix transforms are ubiquitous within the world of computer graphics, where they have become an invaluable tool in a programmer’s toolkit for solving everything from 2D image scaling to 3D rotation about an arbitrary axis. Virtually every software system and hardware graphics processor uses matrices to undertake operations such as scaling, translation, reflection and rotation. Nevertheless, for some newcomers to the world of computer games and animation, matrix notation can appear obscure and challenging. Matrices and determinants were originally used to solve groups of simultaneous linear equations, and were subsequently embraced by the computer graphics community to describe the geometric operations for manipulating two- and three-dimensional structures. Consequently, to place matrix notation within an historical context, the author provides readers with some useful background to their development, alongside determinants. Although it is assumed that the reader is familiar with everyday algebra and the solution of simultaneous linear equations, Matrix Transforms for Computer Games and Animation does not expect any prior knowledge of matrix notation. It includes chapters on matrix notation, determinants, matrices, 2D transforms, 3D transforms and quaternions, and includes many worked examples to illustrate their practical use.

Computer games -- Programming. --- Computer graphics -- Computer programs. --- Computer graphics. --- Three-dimensional display systems. --- Computer graphics --- Computer games --- Linear programming --- Electrical & Computer Engineering --- Engineering & Applied Sciences --- Applied Physics --- Electrical Engineering --- Technology - General --- Mathematics --- Programming --- Linear programming. --- Mathematics. --- Programming. --- Computer game programming --- Game programming (Computer games) --- Computer science. --- Image processing. --- Computer Science. --- Computer Imaging, Vision, Pattern Recognition and Graphics. --- Mathematics, general. --- Image Processing and Computer Vision. --- Production scheduling --- Programming (Mathematics) --- Computer programming --- Computer vision. --- Math --- Science --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Optical data processing. --- Optical computing --- Visual data processing --- Bionics --- Electronic data processing --- Integrated optics --- Photonics --- Computers --- Optical equipment