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Achour_Idoughi___Master_s_Thesis _revised__final format approved LW 7-7-2022.pdf (4.83 MB)
ETD Abstract Container
Abstract Header
A Wavelet Based Method for ToF Camera Depth Images Denoising
Author Info
Idoughi, Achour
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=dayton1657779847494683
Abstract Details
Year and Degree
2022, Master of Science (M.S.), University of Dayton, Electrical Engineering.
Abstract
This work addresses the problem of shot noise in Time-of-Flight (ToF) camera depth sensors, which is caused by the random nature of photon emission and detection. In this paper, we derive a Bayesian denoising technique based on Maximum A Posteriori (MAP) probability estimation, implemented in the wavelet domain, which denoises (2D) depth images acquired by ToF cameras. We also propose a new noise model describing the photon noise present in the raw ToF data. We demonstrate that the raw data captured by ToF camera depth sensors follows a Skellam distribution. We test the resulting denoising technique, in the millimeter level, with real sensor data and verify that it performs better than other denoising methods described in the literature.
Committee
Keigo Hirakawa (Advisor)
Pages
58 p.
Subject Headings
Electrical Engineering
Keywords
Time of flight, denoising, Bayesian, image denoising, depth images
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Citations
Idoughi, A. (2022).
A Wavelet Based Method for ToF Camera Depth Images Denoising
[Master's thesis, University of Dayton]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1657779847494683
APA Style (7th edition)
Idoughi, Achour.
A Wavelet Based Method for ToF Camera Depth Images Denoising.
2022. University of Dayton, Master's thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=dayton1657779847494683.
MLA Style (8th edition)
Idoughi, Achour. "A Wavelet Based Method for ToF Camera Depth Images Denoising." Master's thesis, University of Dayton, 2022. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1657779847494683
Chicago Manual of Style (17th edition)
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Document number:
dayton1657779847494683
Download Count:
124
Copyright Info
© 2022, all rights reserved.
This open access ETD is published by University of Dayton and OhioLINK.