Image processing-from basics to advanced applications Learn how to master image processing and compression with this outstanding state-of-the-art reference. From fundamentals to sophisticated applications, Image Processing: Principles and Applications covers multiple topics and provides a fresh perspective on future directions and innovations in the field, including: * Image transformation techniques, including wavelet transformation and developments * Image enhancement and restoration, including noise modeling and filtering * Segmentation schemes, and classification and recognition of objects * Texture and shape analysis techniques * Fuzzy set theoretical approaches in image processing, neural networks, etc. * Content-based image retrieval and image mining * Biomedical image analysis and interpretation, including biometric algorithms such as face recognition and signature verification * Remotely sensed images and their applications * Principles and applications of dynamic scene analysis and moving object detection and tracking * Fundamentals of image compression, including the JPEG standard and the new JPEG2000 standard Additional features include problems and solutions with each chapter to help you apply the theory and techniques, as well as bibliographies for researching specialized topics. With its extensive use of examples and illustrative figures, this is a superior title for students and practitioners in computer science, wireless and multimedia communications, and engineering.
This comprehensive yet accessible text provides a good introduction to the fundamental concepts of Information Technology and skillfully elaborates on their applications, covering in the process the entire spectrum of IT related topics. Organized into three parts, the book offers an insightful analysis of the subject, explaining the concepts through suitable illustrations. Part I covers basic issues and concepts of Internet and the techniques of acquiring, storing, structuring and managing information that may involve images, text files and video data. The reader is exposed to both centralized and distributed database systems. Part II deals with the core topics in developing information systems which are based on audio and speech compression, multimedia communication techniques, and soft computing for analysis and interpretation of data. Part III focusses on a number of application areas-as remote sensing, telemedicine, e-commerce, cybermediary and rural development-besides the traditional engineering disciplines, highlighting their social impacts. The book is intended for undergraduate and postgraduate students of information technology, computer science as well as electronics and electrical communication engineering. It should also serve as an excellent reference for professionals in the IT field. Key Features: Discusses in detail the theoretical basis behind a web graph. Deals with security issues of computer networks and their implications in an easy-to-understand manner. Contains more than 30 projects (with useful hints) that students of various IT courses would find interesting to work on. Three chapters are exclusively devoted to different aspects of database management and data mining systems.
First title to ever present soft computing approaches and their application in data mining, along with the traditional hard-computing approaches Addresses the principles of multimedia data compression techniques (for image, video, text) and their role in data mining Discusses principles and classical algorithms on string matching and their role in data mining
This comprehensive yet accessible text provides a good introduction to the fundamental concepts of Information Technology and skillfully elaborates on their applications, covering in the process the entire spectrum of IT related topics. Organized into three parts, the book offers an insightful analysis of the subject, explaining the concepts through suitable illustrations. Part I covers basic issues and concepts of Internet and the techniques of acquiring, storing, structuring and managing information that may involve images, text files and video data. The reader is exposed to both centralized and distributed database systems. Part II deals with the core topics in developing information systems which are based on audio and speech compression, multimedia communication techniques, and soft computing for analysis and interpretation of data. Part III focusses on a number of application areas-as remote sensing, telemedicine, e-commerce, cybermediary and rural development-besides the traditional engineering disciplines, highlighting their social impacts. The book is intended for undergraduate and postgraduate students of information technology, computer science as well as electronics and electrical communication engineering. It should also serve as an excellent reference for professionals in the IT field. Key Features: Discusses in detail the theoretical basis behind a web graph. Deals with security issues of computer networks and their implications in an easy-to-understand manner. Contains more than 30 projects (with useful hints) that students of various IT courses would find interesting to work on. Three chapters are exclusively devoted to different aspects of database management and data mining systems.
Image processing-from basics to advanced applications Learn how to master image processing and compression with this outstanding state-of-the-art reference. From fundamentals to sophisticated applications, Image Processing: Principles and Applications covers multiple topics and provides a fresh perspective on future directions and innovations in the field, including: * Image transformation techniques, including wavelet transformation and developments * Image enhancement and restoration, including noise modeling and filtering * Segmentation schemes, and classification and recognition of objects * Texture and shape analysis techniques * Fuzzy set theoretical approaches in image processing, neural networks, etc. * Content-based image retrieval and image mining * Biomedical image analysis and interpretation, including biometric algorithms such as face recognition and signature verification * Remotely sensed images and their applications * Principles and applications of dynamic scene analysis and moving object detection and tracking * Fundamentals of image compression, including the JPEG standard and the new JPEG2000 standard Additional features include problems and solutions with each chapter to help you apply the theory and techniques, as well as bibliographies for researching specialized topics. With its extensive use of examples and illustrative figures, this is a superior title for students and practitioners in computer science, wireless and multimedia communications, and engineering.
JPEG2000 Standard for Image Compression presents readers with the basic background to this multimedia compression technique and prepares the reader for a detailed understanding of the JPEG2000 standard, using both the underlying theory and the principles behind the algorithms of the JPEG2000 standard for scalable image compression. It introduces the VLSI architectures and algorithms for implementation of the JPEG2000 standard in hardware (not available in the current literature), an important technology for a number of image processing applications and devices such as digital camera, color fax, printer, and scanners.
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