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Signal Processing for Image Enhancement and Multimedia Processing

Name: Signal Processing for Image Enhancement and Multimedia Processing
Brand: Springer-Verlag New York Inc.
SKU: 9780387724997
Price: 61830 HUF
Availability: InStock

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

Nyelv:

Kötés: Kemény kötésű

Kiadó: Springer-Verlag New York Inc.

Elérhetőség: Beszállítói készleten alacsony példányszámban

Küldés 11-15 napon belül

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Traditionally, signal processing techniques lay at the foundation of multimedia data processing and...

Információk a könyvről

Szerző

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

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

2007

oldal

338

EAN

9780387724997

ISBN

0387724990

Enbook ID

05247861

Kiadó

Springer-Verlag New York Inc.

Súly

699

Méretek

155 x 235 x 24

Teljes leírás

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.