Signal Processing for Image Enhancement and Multimedia Processing

  • Ernesto Damiani
  • Kokou Yétongnon
  • Peter Schelkens
  • Albert Dipanda
  • Louis Legrand
  • Richard Chbeir

Part of the Multimedia Systems and Applications Series book series (MMSA, volume 31)

Table of contents

  1. Front Matter
    Pages I-XIV
  2. Image Restauration, Filtering and Compression

    1. Front Matter
      Pages 1-1
    2. Benjamín Dugnol, Carlos Fernández, Gonzalo Galiano, Julián Velasco
      Pages 3-12
    3. Fadoua Drira, Frank Lebourgois, Hubert Emptoz
      Pages 13-25
    4. Kamel Bensebaa, Gerald J.F. Banon, Leila M.G. Fonseca, Guaraci J. Erthal
      Pages 37-48
    5. Ludovic Journaux, Irène Foucherot, Pierre Gouton
      Pages 59-66
    6. Ruchan Dong, Biao Hou, Shuang Wang, Licheng Jiao
      Pages 67-75
  3. Texture Analysis and Feature Extraction

    1. Front Matter
      Pages 77-77
    2. Narcisse Talla Tankam, Albert Dipanda, Emmanuel Tonye
      Pages 79-94
    3. Thomas Chalumeau, Luciano da F. Costa, Olivier Laligant, Fabrice Meriaudeau
      Pages 95-102
    4. Patrick Mikulastik, Raphael HÖver, Onay Urfalioglu
      Pages 103-113
    5. Angel D. Sappa, Boris X. Vintimilla
      Pages 115-125
    6. M. Sarifuddin, Rokia Missaoui, Michel Paindavoine, Jean Vaillancourt
      Pages 127-140
    7. Boulbaba Ben Amor, Karima Ouji, Mohsen Ardabilian, Faouzi Ghorbel, Liming Chen
      Pages 141-151
  4. Face Recognition and Shape Analysis

    1. Front Matter
      Pages 153-153
    2. Marco Anisetti, Valerio Bellandi, Ernesto Damiani, Luigi Arnone, Benoit Rat
      Pages 155-165
    3. Isameddine Boukhriss, Serge Miguet, Laure Tougne
      Pages 167-176
    4. Fabrice Mairesse, Tadeusz Sliwa, Yvon Voisin, St’ephane Binczak
      Pages 177-187

About this book

Introduction

Traditionally, signal processing techniques lay at the foundation of multimedia data processing and analysis. In the past few years, a new wave of advanced signal-processing techniques has delivered exciting results, increasing system's capabilities of efficiently exchanging image data and extracting useful knowledge.

Signal Processing for Image Enhancement and Multimedia Processing is written by global experts who have extended the best papers presented at the SITIS 2006 International Conference to chapter versions. This edited book presents research results on the application of advanced signal processing techniques for improving the value of image and video data. In addition, this volume includes discussions on feature-based techniques for deep, feature-oriented analysis of images, plus new results on video coding on the time-honored topic of securing image information.

Signal Processing for Image Enhancement and Multimedia Processing is designed for a professional audience of practitioners and researchers in industry. It is also suitable as a reference or secondary text for advanced-level students in computer science and engineering.

 

Keywords

3D Augmented Reality H.264 filtering image processing image restoration multimedia proving signal processing

Editors and affiliations

  • Ernesto Damiani
    • 1
  • Kokou Yétongnon
    • 2
  • Peter Schelkens
    • 3
  • Albert Dipanda
    • 2
  • Louis Legrand
    • 4
  • Richard Chbeir
    • 2
  1. 1.Dipto. Tecnologie dell′InformazioneUniversità Milano-BicoccaItaly
  2. 2.Université de Bourgogne LE2I-CNRSFrance
  3. 3.Dept. Electronics and Info. Processing (ETRO)Vrije Universiteit BrusselsBelgium
  4. 4.Université de Bourgogne LE2I-CNRSFrance

Bibliographic information

  • DOI https://doi.org/10.1007/978-0-387-72500-0
  • Copyright Information Springer Science+Business Media, LLC 2008
  • Publisher Name Springer, Boston, MA
  • eBook Packages Computer Science
  • Print ISBN 978-0-387-72499-7
  • Online ISBN 978-0-387-72500-0
  • About this book