Title

Poisson approximation to image sensor noise

Author

Xiaodan Jin

Date of Award

2010

Degree Name

M.S. in Electrical Engineering

Department

Department of Electrical and Computer Engineering

Advisor/Chair

Advisor: Keigo Hirakawa

Abstract

Noise is present in all images captured by image sensors. Due to photon emission and photoelectric effects that are the foundations of the ways in which quantum mechanics enable image sensors, in fact, random noise is a necessary evil" of image sensors that will continue to require our attention. The goal of this research is to provide a comprehensive characterization of random noise in ways that enhance post-image-capture signal processing steps. We derive the Poisson approximation to model the measurement noise that is the result of photon arrival and photon recapture. A novel methodology to learn the parameters that describe the noise is developed. We conclude by presenting preliminary evidence that accurate noise modeling would improve image denoising, especially in the low photon count/high noise regimes."

Keywords

Digital images Repairing, Image reconstruction, Image processing Digital techniques, Signal processing Digital techniques, Imaging systems Image quality

Rights Statement

Copyright 2010, author

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