Abstract
This paper explores numerical techniques for comparing real and synthetic luminance images. We introduce components of a perceptually based metric using ideas from the image compression literature. We apply a series of metrics to a set of real and synthetic images, and discuss their performance. Finally, we conclude with suggestions for future work in formulating image metrics and incorporating them into new image synthesis methods.
Certain commercial equipment and instruments are identified in this paper in order to specify the experimental procedures adequately. Such identification is not intented to imply recommendation or endorsement by the National Institute of Standards and Technology or by the Lawrence Berkeley Laboratory, nor is it intended to imply that the materials or equipment identified are necessarily the best available for the purpose.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Advanced Visual Systems. AVS User’s Guide AVS Inc., 300 Fifth Ave., Waltham, MA 02154, 1992.
F. W. Campbell, J. J. Kulikowski, and J. Levinson. The effect of orientation on the visual resolution of gratings. Journal of Physiology, 187: 427–436, 1966.
T. N. Cornsweet. Visual Perception, Academic Press, New York, NY, 1970.
S. Daly. The visible difference predictor: an algorithm for the assessment of image fidelity. In A. B. Watson, editor, Digital Images and Human Vision, pages 179–206. MIT Press, 1993.
J. E. Flynn. A study of subjective responses to low energy and nonuniform lighting systems. Lighting Design and Application, pages 6–15, 1977.
M. J. Gervais, L. O. Harvey, Jr., and J. O. Roberts. Identification confusions among letters of the alphabet. Journal of Experimental Psychology: Human Perception and Performance, 10 (5): 655–666, 1984.
J. L. Mannos and D. J. Sakrison. The effects of a visual fidelity criterion on the encoding of images. IEEE Transactions on Information Theory, IT-20(4): 525–536, 1974.
M. S. Rea and I. G. Jeffrey. A new luminance and image analysis system for lighting and vision I. Equipment and calibration. Journal of the Illuminating Engineering Society, pages 64–72, Winter 1990.
G. J. Ward. Measuring and modeling anisotropic reflection. Computer Graphics, 26 (2), 1992.
G. J. Ward. The RADIANCE lighting simulation and rendering system. Computer Graphics, July, 1994.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1995 Springer-Verlag/Wien
About this paper
Cite this paper
Rushmeier, H., Ward, G., Piatko, C., Sanders, P., Rust, B. (1995). Comparing Real and Synthetic Images: Some Ideas About Metrics. In: Hanrahan, P.M., Purgathofer, W. (eds) Rendering Techniques ’95. EGSR 1995. Eurographics. Springer, Vienna. https://doi.org/10.1007/978-3-7091-9430-0_9
Download citation
DOI: https://doi.org/10.1007/978-3-7091-9430-0_9
Published:
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-82733-8
Online ISBN: 978-3-7091-9430-0
eBook Packages: Springer Book Archive