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Proceedings Paper

Sensor calibration and simulation
Author(s): Joyce Farrell; Michael Okincha; Manu Parmar
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Paper Abstract

We describe a method for simulating the output of an image sensor to a broad array of test targets. The method uses a modest set of sensor calibration measurements to define the sensor parameters; these parameters are used by an integrated suite of Matlab software routines that simulate the sensor and create output images. We compare the simulations of specific targets to measured data for several different imaging sensors with very different imaging properties. The simulation captures the essential features of the images created by these different sensors. Finally, we show that by specifying the sensor properties the simulations can predict sensor performance to natural scenes that are difficult to measure with a laboratory apparatus, such as natural scenes with high dynamic range or low light levels.

Paper Details

Date Published: 12 March 2008
PDF: 9 pages
Proc. SPIE 6817, Digital Photography IV, 68170R (12 March 2008); doi: 10.1117/12.767901
Show Author Affiliations
Joyce Farrell, Stanford Ctr. for Image Systems Engineering (United States)
Michael Okincha, Vista Technologies (United States)
Manu Parmar, Stanford Ctr. for Image Systems Engineering (United States)


Published in SPIE Proceedings Vol. 6817:
Digital Photography IV
Jeffrey M. DiCarlo; Brian G. Rodricks, Editor(s)

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