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Proceedings Paper

Flatbed scanner simulation to analyze the effect of detector's size on color artifacts
Author(s): Mohammed Yousefhussien; Roger L. Easton Jr.; Raymond Ptucha; Mark Shaw; Brent Bradburn; Jerry Wagner; David Larson; Eli Saber
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Paper Abstract

Simulations of flatbed scanners can shorten the development cycle of new designs, estimate image quality, and lower manufacturing costs. In this paper, we present a flatbed scanner simulation a strobe RGB scanning method that investigates the effect of the sensor height on color artifacts. The image chain model from the remote sensing community was adapted and tailored to fit flatbed scanning applications. This model allows the user to study the relationship between various internal elements of the scanner and the final image quality. Modeled parameters include: sensor height, intensity and duration of illuminant, scanning rate, sensor aperture, detector modulation transfer function (MTF), and motion blur created by the movement of the sensor during the scanning process. These variables are also modeled mathematically by utilizing Fourier analysis, functions that model the physical components, convolutions, sampling theorems, and gamma corrections. Special targets were used to validate the simulation include single frequency pattern, a radial chirp-like pattern, or a high resolution scanned document. The simulation is demonstrated to model the scanning process effectively both on a theoretical and experimental level.

Paper Details

Date Published: 12 March 2015
PDF: 11 pages
Proc. SPIE 9401, Computational Imaging XIII, 94010H (12 March 2015); doi: 10.1117/12.2083028
Show Author Affiliations
Mohammed Yousefhussien, Rochester Institute of Technology (United States)
Roger L. Easton Jr., Rochester Institute of Technology (United States)
Raymond Ptucha, Rochester Institute of Technology (United States)
Mark Shaw, Hewlett-Packard Co. (United States)
Brent Bradburn, Hewlett-Packard Co. (United States)
Jerry Wagner, Hewlett-Packard Co. (United States)
David Larson, Hewlett-Packard Co. (United States)
Eli Saber, Rochester Institute of Technology (United States)

Published in SPIE Proceedings Vol. 9401:
Computational Imaging XIII
Charles A. Bouman; Ken D. Sauer, Editor(s)

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