Noise modeling for design and simulation of computational imaging systems

Hans Wach; Edward R. Dowski Jr.

doi:10.1117/12.542258

15 July 2004 Noise modeling for design and simulation of computational imaging systems

Hans Wach, Edward R. Dowski Jr.

Proceedings Volume 5438, Visual Information Processing XIII; (2004) https://doi.org/10.1117/12.542258
Event: Defense and Security, 2004, Orlando, Florida, United States

Abstract

Understanding signal and noise quantities in any practical computational imaging system is critical. Knowledge of the imaging environment, optical parameters, and detector sensitivity determine the signal quantities but often noise quantities are assumed to be independent of the signal and either uniform or Gaussian additive. These simplistic noise models do not accurately model actual detectors. Accurate noise models are needed in order to design optimal systems. We describe a noise model for a modern APS CMOS detector and a number of noise sources that we will be measuring. A method for characterizing the noise sources given a set of dark images and a set of flat field images is outlined. The noise characterization data is then used to simulate dark images and flat field images. The simulated data is a very good match to the real data thus validating the model and characterization procedure.

Citation Download Citation

Hans Wach and Edward R. Dowski Jr. "Noise modeling for design and simulation of computational imaging systems", Proc. SPIE 5438, Visual Information Processing XIII, (15 July 2004); https://doi.org/10.1117/12.542258

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