Computational Visual Perception for Image and Video Processing
Azeddine Beghdadi(Author)
Academic Press
Will be published approx. on 1. December 2029
Book
Hardback
240 pages
978-0-12-802040-1 (ISBN)
Description
Computational Visual Perception for Image and Video Processing provides a comprehensive introduction to Human Visual System (HVS)-based approaches for image and video analysis and processing. In a concise and practical way, the most relevant characteristics and properties of HVS are presented. The book teaches basic notions on the Human Visual System (HVS), helping readers gain an introduction to HVS-inspired image analysis and processing, image quality assessment methods, selected applications of HVS-inspired multimedia processing, and key trends and future research challenges in the area.
More details
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
Professional and scholarly
Dimensions
Height: 229 mm
Width: 152 mm
ISBN-13
978-0-12-802040-1 (9780128020401)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Person
Dr. Azeddine BEGHDADI is a Professor at the University of Paris 13 (Institut Galilee) and the director of L2TI laboratory. He received Maitrise in Physics and Diplome d'Etudes Approfondies in Optics and Signal Processing from University Orsay-Paris XI (Equivalent: Masters of Sciences) in 1982 and 1983 respectively and the PhD in Physics (Specialism: Optics and Signal Processing) from University Paris 6 1986. He has published over 220 international refereed scientific papers and is a founding member of the L2TI laboratory. His research interests include image quality enhancement and assessment, image and video compression, bio-inspired models for image analysis and processing, and physics-based image analysis.
Content
1. Basic notions on the Human Visual System2. Fundamentals of HVS-inspired image analysis and processing3. Image quality Assessment4. Selected HVS-inspired methods for image processing5. New trends and challenges