Comparing Real and Synthetic Images: Some Ideas About Metrics
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.
KeywordsMeasured Image Synthetic Image Simulated Image Cube Root Random Image
Unable to display preview. Download preview PDF.
- 1.Advanced Visual Systems. AVS User’s Guide AVS Inc., 300 Fifth Ave., Waltham, MA 02154, 1992.Google Scholar
- 2.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.Google Scholar
- 3.T. N. Cornsweet. Visual Perception, Academic Press, New York, NY, 1970.Google Scholar
- 4.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.Google Scholar
- 5.J. E. Flynn. A study of subjective responses to low energy and nonuniform lighting systems. Lighting Design and Application, pages 6–15, 1977.Google Scholar
- 8.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.Google Scholar
- 9.G. J. Ward. Measuring and modeling anisotropic reflection. Computer Graphics, 26 (2), 1992.Google Scholar
- 10.G. J. Ward. The RADIANCE lighting simulation and rendering system. Computer Graphics, July, 1994.Google Scholar