Printer Friendly

Digital Video Quality: Vision Models and Metrics .


Digital video quality; vision models and metrics.

Winkler, Stefan.

John Wiley & Sons


175 pages




When compressed for transmission, digital images and video exhibit distortions that compromise their quality. This text explains how the limitations of the human visual system (HVS) may be exploited to maximize the quality of the output of digital imaging systems. Winkler begins with an overview of how visual information is processed in the brain. He then presents a tool for the evaluation of video quality that is based upon a model of the HVS. Winkler is Chief Scientist at Genista Corporation, a company developing perceptual quality metrics for multimedia applications. The text is based upon his doctoral dissertation.

([c] 2005 Book News, Inc., Portland, OR)
COPYRIGHT 2005 Book News, Inc.
No portion of this article can be reproduced without the express written permission from the copyright holder.
Copyright 2005 Gale, Cengage Learning. All rights reserved.

Article Details
Printer friendly Cite/link Email Feedback
Publication:SciTech Book News
Article Type:Book Review
Date:Dec 1, 2005
Previous Article:Beginning JavaServer Pages.
Next Article:Heat, Treatment, Selection and Application of Tool Steels, 2d ed..

Related Articles
Disability, society, and the individual. (In Review).
Offender Rehabilitation in Practice.
Review of Marketing Research: v.2.
Latent Curve Models: A Structural Equation Perspective.
Digital video image quality and perceptual coding.
Quality electronic design; proceedings.
Computer vision and pattern recognition; CVPR 2006; proceedings; 2v.
Albert R. Roberts and Kenneth R. Yeager, Foundations of Evidence Based Social Work Practice.
Computer vision research progress.
Performance analysis of queuing and computer networks.

Terms of use | Privacy policy | Copyright © 2019 Farlex, Inc. | Feedback | For webmasters