Share Email Print

Proceedings Paper

Image-compression-related contrast-masking measurements
Author(s): Marcus J. Nadenau; Julien Reichel
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Models of human vision can be efficiently exploited to improve the visual quality of image compression schemes. Most of the psycho-visual experiments documented in literature use very basic test patterns to analyze specific low-level vision effects. More complex patterns of real world images and strong constrains of an image compression scheme result in a very rough mapping of this psycho-visual data to the real system. So it is no longer guaranteed that the predicted visibility of the distortions is correct. In this paper we present an experiment strongly linked to wavelet-based image compression. It evaluates the effect of contrast and entropy masking based on complex images of natural scenery. The test images were reconstructed from a wavelet-decomposition where the wavelet coefficients were quantized at specific locations. The visibility of these distortions is influenced in a first order by the contrast masking effect and in a second order by the complexity of the affected image sub-region. With the collected test data some models are compared in terms of prediction performance.

Paper Details

Date Published: 2 June 2000
PDF: 12 pages
Proc. SPIE 3959, Human Vision and Electronic Imaging V, (2 June 2000); doi: 10.1117/12.387156
Show Author Affiliations
Marcus J. Nadenau, Swiss Federal Institute of Technology/Lausanne (Germany)
Julien Reichel, Swiss Federal Institute of Technology/Lausanne (Switzerland)

Published in SPIE Proceedings Vol. 3959:
Human Vision and Electronic Imaging V
Bernice E. Rogowitz; Thrasyvoulos N. Pappas, Editor(s)

© SPIE. Terms of Use
Back to Top