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19444.pdf (5.3 MB)
ETD Abstract Container
Abstract Header
Wavelet-based Image Processing
Author Info
May, Heather
ORCID® Identifier
http://orcid.org/0000-0001-9493-5349
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1448037498
Abstract Details
Year and Degree
2015, MS, University of Cincinnati, Arts and Sciences: Mathematical Sciences.
Abstract
Abstract: This thesis will guide you through the uses of wavelets in image processing. A review of Fourier transforms, z Transforms, multiresolution analysis, and subband coding. A main advantage of discrete wavelet transform (DWT) is the ability to decompose images in the space/time-frequency domain. The diverse applications for wavelets can be seen in biometrics, medical imaging, statistical analysis, and even current technology for images such as the JPEG 2000.
Committee
Herbert Halpern, Ph.D. (Committee Chair)
Donald French, Ph.D. (Committee Member)
Benjamin Vaughan, Ph.D. (Committee Member)
Pages
67 p.
Subject Headings
Mathematics
Keywords
image processing
;
digital signal processing
;
wavelets
;
multiresolution analysis
;
filter banks
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Refworks
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Citations
May, H. (2015).
Wavelet-based Image Processing
[Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1448037498
APA Style (7th edition)
May, Heather.
Wavelet-based Image Processing.
2015. University of Cincinnati, Master's thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1448037498.
MLA Style (8th edition)
May, Heather. "Wavelet-based Image Processing." Master's thesis, University of Cincinnati, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1448037498
Chicago Manual of Style (17th edition)
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Document number:
ucin1448037498
Download Count:
531
Copyright Info
© 2015, some rights reserved.
Wavelet-based Image Processing by Heather May is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by University of Cincinnati and OhioLINK.