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Proceedings Paper

Sampling locations and visual difference predictors
Author(s): R. Victor Klassen; Stephen C. Morgana
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Paper Abstract

Visual difference predictors accept two imags as input, performed some processing, and produce a single image as output. The output image represent a map of the visibility of differences between the two input images. In practical applications, input images are received at whatever resolution is convenient for the application, and viewing distances are as appropriate for the task at hand. To match retinal sampling rates, the images are typically filtered and down-sampled. Given that the typically employed optical point spread functions do not completely remove high frequency information, we ask whether, and to what extent high frequency leakage leads to aliasing. In this paper we explore the amount of aliasing possible in our implementation of the Sarnoff Visual Discrimination Model, and describe a modification that uses a sampling grid similar to the Poisson disk distribution. We then compare the result of this sampling to that of the unmodified model.

Paper Details

Date Published: 19 May 1999
PDF: 7 pages
Proc. SPIE 3644, Human Vision and Electronic Imaging IV, (19 May 1999); doi: 10.1117/12.348444
Show Author Affiliations
R. Victor Klassen, Xerox Webster Research Ctr. (United States)
Stephen C. Morgana, Xerox Webster Research Ctr. (United States)

Published in SPIE Proceedings Vol. 3644:
Human Vision and Electronic Imaging IV
Bernice E. Rogowitz; Thrasyvoulos N. Pappas, Editor(s)

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