Academic Press’ Library in Signal Processing book cover

Academic Press’ Library in Signal Processing

Volume 4: Image, Video and Biomedical Signal Processing, and Hardware

Edited by
  • Sergios Theodoridis, Department of Informatics and Telecommunications, University of Athens, Greece

Aimed at university researchers, post graduate students and R&D engineers in industry, this reference gives tutorial-based, comprehensive reviews of key topics and technologies of research in image, video and biomedical signal processing, and hardware, giving an invaluable starting point to the area through the insight and understanding that they provide.

Features:

  • Quick tutorial reviews of important and emerging topics of research in signal, speech, acoustic, image and video processing.
  • Reference content on core principles, technologies, algorithms and applications
  • Edited and contributed by leading figures in the field
  • Comprehensive references to journal articles and other literature upon which to build further , more detailed knowledge

With this reference source you will

  • Quickly grasp an area of research with which you are unfamiliar
  • Understand the underlying principles of a topic
  • How a topic relates to other areas and learn of the research issues yet to be resolved.

Audience
PhD students

Post Docs

R&D engineers in signal processing and wireless and mobile communications

Consultants

Hardbound, 1020 Pages

Published: August 2013

Imprint: Academic Press

ISBN: 978-0-12-396501-1

Contents

  • 1. Introduction: Image enhancement/restoration and digital imaging
    2. Image capture digital cameras - quality issues
    3. Image capture documents (scanners, copiers, etc.)
    4. Image Display - Mobile Imaging and Interactive Image Processing
    5. Image Display - printing (desktop, commercial)
    6. Image Restoration: Fundamentals of image restoration 
    7. Image Restoration: computation and iterative methods
    8. Image Enhancement -  scratches, dropouts, occlusions, in-painting
    9. Introduction: Image Analysis and Recognition
    10. Machine Learning Techniques
    11. Image Models, Markov Random Fields and MCMC Methods
    12. Using imaging patterns along with machine learning methods to build diagnostic and prognostic  tools   
    13. Introduction: Video Processing
    14. Foveation and Video Search
    15. Biometrics
    16. Dynamical systems in video
    17. Image-based rendering
    18. Search and Retrieval in Surveillance Video
    19. Tracking in video
    20. Compressive Sensing in Video Applications
    21. Simulation systems for vision
    22. Introduction: Hardware and Software
    23. Smart Cameras
    24. Mapping Parameterized Dataflow Graphs onto FPGA Platforms
    25. Energy and Computational Workload in Distributed Estimation

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