Signal Processing for Image Enhancement and Multimedia Processing

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 extr...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Damiani, Ernesto (Επιμελητής έκδοσης), Yétongnon, Kokou (Επιμελητής έκδοσης), Schelkens, Peter (Επιμελητής έκδοσης), Dipanda, Albert (Επιμελητής έκδοσης), Legrand, Louis (Επιμελητής έκδοσης), Chbeir, Richard (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Boston, MA : Springer US, 2008.
Σειρά:Multimedia Systems and Applications Series ; 31
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Signal Processing for Image Enhancement and Multimedia Processing  |h [electronic resource] /  |c edited by Ernesto Damiani, Kokou Yétongnon, Peter Schelkens, Albert Dipanda, Louis Legrand, Richard Chbeir. 
264 1 |a Boston, MA :  |b Springer US,  |c 2008. 
300 |a XVI, 338 p.  |b online resource. 
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490 1 |a Multimedia Systems and Applications Series ;  |v 31 
505 0 |a 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. 
520 |a 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. . 
650 0 |a Engineering. 
650 0 |a Computer communication systems. 
650 0 |a Information storage and retrieval. 
650 0 |a Multimedia information systems. 
650 0 |a Computer graphics. 
650 0 |a Image processing. 
650 1 4 |a Engineering. 
650 2 4 |a Signal, Image and Speech Processing. 
650 2 4 |a Image Processing and Computer Vision. 
650 2 4 |a Multimedia Information Systems. 
650 2 4 |a Computer Communication Networks. 
650 2 4 |a Computer Graphics. 
650 2 4 |a Information Storage and Retrieval. 
700 1 |a Damiani, Ernesto.  |e editor. 
700 1 |a Yétongnon, Kokou.  |e editor. 
700 1 |a Schelkens, Peter.  |e editor. 
700 1 |a Dipanda, Albert.  |e editor. 
700 1 |a Legrand, Louis.  |e editor. 
700 1 |a Chbeir, Richard.  |e editor. 
710 2 |a SpringerLink (Online service) 
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830 0 |a Multimedia Systems and Applications Series ;  |v 31 
856 4 0 |u http://dx.doi.org/10.1007/978-0-387-72500-0  |z Full Text via HEAL-Link 
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950 |a Computer Science (Springer-11645)