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.
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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.
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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.
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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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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
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Produktdetaljer

ISBN
9780387724997
Publisert
2007-11-30
Utgiver
Vendor
Springer-Verlag New York Inc.
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Research, P, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet