Color Image and Video Enhancement

Softcover Nachdruck of the original 1. Auflage 2015
ISBN: 978-3-319-37161-0
Verlag: Springer International Publishing

Buch, Englisch, 393 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 6146 g

This text covers state-of-the-art color image and video enhancement techniques. The book examines the multivariate nature of color image/video data as it pertains to contrast enhancement, color correction (equalization, harmonization, normalization, balancing, constancy, etc.), noise removal and smoothing. This book also discusses color and contrast enhancement in vision sensors and applications of image and video enhancement.

Zielgruppe

Research

Autoren/Hrsg.

Celebi, Emre

Smolka, Bogdan

Lecca, Michela

Fachgebiete

• Mathematik | Informatik EDV | Informatik Professionelle Anwendung Fotobeabeitung und Bildbearbeitung
• Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
• Mathematik | Informatik EDV | Informatik Professionelle Anwendung Digitales Video
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Signalverarbeitung, Bildverarbeitung, Scanning

Inhaltsverzeichnis

Colorimetric Characterization.- Image Demosaicing.- DCT-Based Color Image Denoising: Efficiency Analysis and Prediction.- Impulsive noise filters for colour images.- Spatial and frequency based variational methods for perceptually inspired color and contrast enhancement of digital images.- The Color Logarithmic Image Processing (CoLIP) antagonist space.- Color management and virtual restoration of artworks.- A GPU-Accelerated Adaptive Simultaneous Dynamic Range Compression and Local Contrast Enhancement Algorithm for Real-Time Color Image Enhancement.- Color Equalization and Retinex.- Color correction for stereo and multi-view coding.- Enhancement of image content for observers with colour vision deficiencies.- Overview of grayscale image colorization techniques.- Computationally efficient data and application driven color transforms for the compression and enhancement of images and video.

Über Autor(innen)

M. Emre Celebi is an Associate Professor with the Department of Computer Science at the Louisiana State University in Shreveport.

Michela Lecca (M.Sc.) is a researcher with Fondazione Bruno Kessler, Center for Information Technology, Technologies of Vision, Trento, Italy.

Bogdan Smolka (Ph.D.) is a professor with the Department of Automatic Control, Electronics and Computer Science, at the Silesian University of Technology, Gliwice, Poland.