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Signal Processing for Image Enhancement and Multimedia Processing

  • Book
  • © 2008

Overview

Editors:
  1. Ernesto Damiani

    1. Dipto. Tecnologie dell′Informazione, Università Milano-Bicocca, Italy

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    You can also search for this editor in PubMed   Google Scholar

  2. Kokou Yétongnon

    1. Université de Bourgogne LE2I-CNRS, France

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  3. Peter Schelkens

    1. Dept. Electronics and Info. Processing (ETRO), Vrije Universiteit Brussels, Belgium

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  4. Albert Dipanda

    1. Université de Bourgogne LE2I-CNRS, France

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  5. Louis Legrand

    1. Université de Bourgogne LE2I-CNRS, France

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  6. Richard Chbeir

    1. Université de Bourgogne LE2I-CNRS, France

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  • Discusses feature-based techniques for deep, feature-oriented analysis of images
  • Introduces new results on video coding on time-honored topic of securing image information
  • Includes supplementary material: sn.pub/extras

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

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Table of contents (28 chapters)

  1. Front Matter

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

    1. Front Matter

      Pages 1-1
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    2. On PDE-based spectrogram image restoration. Application to wolf chorus noise reduction and comparison with other algorithms

      • Benjamín Dugnol, Carlos Fernández, Gonzalo Galiano, Julián Velasco
      Pages 3-12

    3. A Modified Mean Shift Algorithm For Efficient Document Image Restoration

      • Fadoua Drira, Frank Lebourgois, Hubert Emptoz
      Pages 13-25

    4. An Efficient Closed Form Approach to the Evaluation of the Probability of False Alarm of the ML-CFAR Detector in a Pulse-to-Pulse Correlated Clutter

      • Toufik Laroussi, Mourad Barkat
      Pages 27-36

    5. On-orbit Spatial Resolution Estimation of CBERS-2 Imaging System Using Ideal Edge Target

      • Kamel Bensebaa, Gerald J.F. Banon, Leila M.G. Fonseca, Guaraci J. Erthal
      Pages 37-48

    6. Distributed Pre-Processed CA-CFAR Detection Structure For Non Gaussian Clutter Reduction

      • Zoubeida Messali, Faouzi Soltani
      Pages 49-57

    7. Multispectral Satellite Images Processing through Dimensionality Reduction

      • Ludovic Journaux, Irène Foucherot, Pierre Gouton
      Pages 59-66

    8. SAR Image Compression based on Wedgelet-Wavelet

      • Ruchan Dong, Biao Hou, Shuang Wang, Licheng Jiao
      Pages 67-75

  3. Texture Analysis and Feature Extraction

    1. Front Matter

      Pages 77-77
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    2. New approach of higher order textural parameters for image classification using statistical methods

      • Narcisse Talla Tankam, Albert Dipanda, Emmanuel Tonye
      Pages 79-94

    3. Texture Discrimination Using Hierarchical Complex Networks

      • Thomas Chalumeau, Luciano da F. Costa, Olivier Laligant, Fabrice Meriaudeau
      Pages 95-102

    4. Error analysis of subpixel edge localisation

      • Patrick Mikulastik, Raphael HÖver, Onay Urfalioglu
      Pages 103-113

    5. Edge Point Linking by Means of Global and Local Schemes

      • Angel D. Sappa, Boris X. Vintimilla
      Pages 115-125

    6. An Enhanced Detector of Blurred and Noisy Edges

      • M. Sarifuddin, Rokia Missaoui, Michel Paindavoine, Jean Vaillancourt
      Pages 127-140

    7. 3D Face Recognition using ICP and Geodesic Computation Coupled Approach

      • 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
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    2. A3FD: Accurate 3D Face Detection

      • Marco Anisetti, Valerio Bellandi, Ernesto Damiani, Luigi Arnone, Benoit Rat
      Pages 155-165

    3. Two dimensional discrete statistical shape models construction

      • Isameddine Boukhriss, Serge Miguet, Laure Tougne
      Pages 167-176

    4. A New Distorted Circle Estimator using an Active Contours Approach

      • Fabrice Mairesse, Tadeusz Sliwa, Yvon Voisin, St’ephane Binczak
      Pages 177-187
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Keywords

About this book

Traditionally,signalprocessingtechniqueslayatthefoundationofmultimedia data processing and analysis. In the past few years, a new wave of advanced signal-processing techniques has delivered exciting results, increasing systems capabilities of e?ciently exchanging image data and extracting useful kno- edge from them. Signal Processing for Image Enhancement and Multimedia Processing is an edited volume, written by well-recognized international - searchers with extended chapter style versions of the best papers presented at the SITIS 2006 International Conference. This book presents the state-of-the-art and recent research results on the application of advanced signal processing techniques for improving the value of image and video data. It also discusses feature-based techniques for deep, feature-oriented analysis of images and new results on video coding on ti- honored topic of securing image information. Signal Processing for Image - hancement and Multimedia Processing is designed for a professional audience composedofpractitionersandresearchersinindustry.Thisvolumeisalsosu- able as a reference or secondary text for advanced-level students in computer science and engineering. The chapters included in this book are a selection of papers presented at the Signal and Image Technologies track of the international SITIS 2006 c- ference. The authors were asked to revise and extend their contributions to take into account the many challenges and remarks discussed at the conf- ence. A large number of high quality papers were submitted to SITIS 2006, demonstrating the growing interest of the research community for image and multimedia processing.

Editors and Affiliations

  • Dipto. Tecnologie dell′Informazione, Università Milano-Bicocca, Italy

    Ernesto Damiani

  • Université de Bourgogne LE2I-CNRS, France

    Kokou Yétongnon, Albert Dipanda, Louis Legrand, Richard Chbeir

  • Dept. Electronics and Info. Processing (ETRO), Vrije Universiteit Brussels, Belgium

    Peter Schelkens

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