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Proceedings Paper

Evaluation of image compression artifacts with ViDEOS: a CAD system for LCD color display design and testing
Author(s): Eugenio Martinez-Uriegas; Jennifer Gille; Jeffrey Lubin; James O. Larimer
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Paper Abstract

Transmission bandwidth and memory, even with the trend of increased availability and lower costs, are resources always in demand and their use needs to be opthnized. From all the elements of information in digital form, images are the top consumers of memory and bandwidth. Therefore, image compression is becoming a tool of general use for storage and transmission purposes, bringing along conspicuous image degradation. Visually perceived degradation needs to be quantified in order to make appropriate decisions involving compression tradeoffs for different imaging applications. The ViDEOS (Video Display Engineering and Optimization System) project is a software system under development. It is a computational tool for engineering color LCD displays under different sets of specifications and evaluating performance under different conditions. Multiple levels of a design can be analyzed with ViDEOS without having to build expensive prototypes; from the electro-optical performance of specific crystal interfaces to image rendering of a complete design under different settings of trade-off parameters. One of the capabilities of the VIDEOS system is the prediction of image visibility when viewed on any display represented within the system. This capability is implemented by means of a model of human vision which is part of the VIDEOS system. One of the many interesting applications is evaluating the visibility of image artifacts like those produced by image compression. Our ongoing efforts reported here include producing images at different degrees of compression and then comparing decompressed versions with respect to the original image using the vision model.

Paper Details

Date Published: 20 April 1995
PDF: 9 pages
Proc. SPIE 2411, Human Vision, Visual Processing, and Digital Display VI, (20 April 1995); doi: 10.1117/12.207561
Show Author Affiliations
Eugenio Martinez-Uriegas, SRI International (United States)
Jennifer Gille, Western Aerospace Labs. (United States)
Jeffrey Lubin, David Sarnoff Research Ctr. (United States)
James O. Larimer, NASA Ames Research Ctr. (United States)

Published in SPIE Proceedings Vol. 2411:
Human Vision, Visual Processing, and Digital Display VI
Bernice E. Rogowitz; Jan P. Allebach, Editor(s)

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