Signal Processing for Image Enhancement and Multimedia Processing (eBook, PDF)

Redaktion: Damiani, Ernesto; Chbeir, Richard; Schelkens, Peter; Legrand, Louis; Yetongnon, Kokou; Dipanda, Albert

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer US
• Seitenzahl: 338
• Erscheinungstermin: 3. Dezember 2007
• Englisch
• ISBN-13: 9780387725000
• Artikelnr.: 37287747

Autorenporträt

Ernesto Damiani is a professor at the Department of Information Technology of the University of Milan. He is the Vice-Chair of the ACM Special Interest Group on Applied Computing (SIGAPP).

Inhaltsangabe

Image Restauration, Filtering and Compression.- On PDE-based spectrogram image restoration. Application to wolf chorus noise reduction and comparison with other algorithms.- A Modified Mean Shift Algorithm For Efficient Document Image Restoration.- 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.- On-orbit Spatial Resolution Estimation of CBERS-2 Imaging System Using Ideal Edge Target.- Distributed Pre-Processed CA-CFAR Detection Structure For Non Gaussian Clutter Reduction.- Multispectral Satellite Images Processing through Dimensionality Reduction.- SAR Image Compression based on Wedgelet-Wavelet.- Texture Analysis and Feature Extraction.- New approach of higher order textural parameters for image classification using statistical methods.- Texture Discrimination Using Hierarchical Complex Networks.- Error analysis of subpixel edge localisation.- Edge Point Linking by Means of Global and Local Schemes.- An Enhanced Detector of Blurred and Noisy Edges.- 3D Face Recognition using ICP and Geodesic Computation Coupled Approach.- Face Recognition and Shape Analysis.- A3FD: Accurate 3D Face Detection.- Two dimensional discrete statistical shape models construction.- A New Distorted Circle Estimator using an Active Contours Approach.- Detection of Facial Feature Points Using Anthropometric Face Model.- Intramodal Palmprint Authentication.- Multimedia Processing.- An Implementation of multiple Region-Of-Interest Models in H.264/AVC.- Rough Sets-Based Image Processing for Deinterlacing.- Intersubband Reconstruction of Lost Low Frequency Coefficients in Wavelet Coded Images.- Content-Based Watermarking by Geometric Warping and Feature-Based Image Segmentation.- Hardware Based Steganalysis.- Esophageal speech enhancement using source synthesis and formant patterns modification.- Arbitrary Image Cloning.- Iterative Joint Source-Channel Decoding with source statistics estimation: Application to image transmission.- AER Imaging.- 28.