Signal Processing for Image Enhancement and Multimedia Processing

ISBN-13: 9780387724997 / Angielski / Twarda / 2007 / 338 str.

Louis Legrand; Albert Dipanda; Kokou Yetongnon

Opis

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

Spis treści

Image Restoration, Filtering and Compression.- 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.- 2 Texture Discrimination Using Hierarchical Complex Networks.- An Enhanced Detector of Blurred and Noisy Edges.- 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.- 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.- AER Imaging.- Intersubband Reconstruction of Lost Low Frequency.- Coefficients in Wavelet Coded Images.- Index.

O autorze

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).

Blurb

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.