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dayton1292306911.pdf (994.09 KB)
ETD Abstract Container
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Poisson Approximation to Image Sensor Noise
Author Info
Jin, Xiaodan
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=dayton1292306911
Abstract Details
Year and Degree
2010, Master of Science (M.S.), University of Dayton, Electrical Engineering.
Abstract
POISSON APPROXIMATION OF IMAGE SENSOR NOISE Name: Jin, Xiaodan University of Dayton Advisor: Dr. K. Hirakawa 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.
Committee
Keigo Hirakawa, PhD (Committee Chair)
Vijayan Asari, PhD (Committee Member)
Raul Ordonez, PhD (Committee Member)
Pages
52 p.
Subject Headings
Electrical Engineering
Keywords
Image denoising
;
noise parameter estimation
;
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Citations
Jin, X. (2010).
Poisson Approximation to Image Sensor Noise
[Master's thesis, University of Dayton]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1292306911
APA Style (7th edition)
Jin, Xiaodan.
Poisson Approximation to Image Sensor Noise.
2010. University of Dayton, Master's thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=dayton1292306911.
MLA Style (8th edition)
Jin, Xiaodan. "Poisson Approximation to Image Sensor Noise." Master's thesis, University of Dayton, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1292306911
Chicago Manual of Style (17th edition)
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Document number:
dayton1292306911
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Copyright Info
© 2010, all rights reserved.
This open access ETD is published by University of Dayton and OhioLINK.