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Joseph_Raffoul___Dissertation__final format approved 4-27-2023.pdf (43.63 MB)
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Abstract Header
Polarimetric Imaging: Log-MPA Demosaicking and Denoising
Author Info
Raffoul, Joseph Naim
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=dayton1683029240330211
Abstract Details
Year and Degree
2023, Doctor of Philosophy (Ph.D.), University of Dayton, Electrical and Computer Engineering.
Abstract
Focal plane arrays in polarimetric imaging require demodulation of the spatially modulated analyzers in order to interpolate or recover the full frame analyzer images. These micro-polarizer array (MPA) sensors are intended for real time video use, and therefore are subject to noise due to short integration time. To address these limitations together would require a joint demosaicking and denoising algorithm. We first propose a demosaicking framework to improve existing demosaicking methods, and a division-of-time Stokes simplex polarimetric imaging denoising algorithm to individually address the issues. We then develop a joint demosaicking and denoising algorithm that combines the Stokes simplex analysis with the wavelet-based denoising. The experimental results prove superior reconstruction for the joint demosaicking and denoising algorithm when compared to state-of-the-art denoising and demosaicking algorithms applied separately to the MPA.
Committee
Keigo Hirakawa (Advisor)
Dan LeMaster (Committee Member)
Eric Balster (Committee Member)
Bradley Ratliff (Committee Member)
Vijayan Asari (Committee Member)
Pages
85 p.
Subject Headings
Electrical Engineering
Keywords
Polarimetric Imaging
;
Demosaicking
;
Denoising
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RIS
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Citations
Raffoul, J. N. (2023).
Polarimetric Imaging: Log-MPA Demosaicking and Denoising
[Doctoral dissertation, University of Dayton]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1683029240330211
APA Style (7th edition)
Raffoul, Joseph.
Polarimetric Imaging: Log-MPA Demosaicking and Denoising.
2023. University of Dayton, Doctoral dissertation.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=dayton1683029240330211.
MLA Style (8th edition)
Raffoul, Joseph. "Polarimetric Imaging: Log-MPA Demosaicking and Denoising." Doctoral dissertation, University of Dayton, 2023. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1683029240330211
Chicago Manual of Style (17th edition)
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Document number:
dayton1683029240330211
Download Count:
11
Copyright Info
© 2023, all rights reserved.
This open access ETD is published by University of Dayton and OhioLINK.