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Matthew_Harris_Thesis_4_2019.pdf (990.57 KB)
ETD Abstract Container
Abstract Header
Accelerating Reverse Engineering Image Processing Using FPGA
Author Info
Harris, Matthew Joshua
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=wright155535529307322
Abstract Details
Year and Degree
2019, Master of Science in Cyber Security (M.S.C.S.), Wright State University, Computer Engineering.
Abstract
In recent decades, field programmable gate arrays (FPGAs) have evolved beyond simple, expensive computational components with minimal computing power to complex, inexpensive computational engines. Today, FPGAs can perform algorithmically complex problems with improved performance compared to sequential CPUs by taking advantage of parallelization. This concept can be readily applied to the computationally dense field of image manipulation and analysis. Processed on a standard CPU, image manipulation suffers with large image sets processed by highly sequential algorithms, but by carefully adhering to data dependencies, parallelized FPGA functions or kernels offer the possibility of significant improvement through threaded CPU functions. This thesis will examine the possibilities of moving a program featuring several image manipulation and analysis operations to a hardware/software build on a modern FPGA. The paper will focus on the implementation and performance improvements of the proposed method as well as the results of moving portions of the program to FPGA hardware.
Committee
John M. Emmert, Ph.D. (Committee Chair)
Michael Raymer, Ph.D. (Committee Co-Chair)
Travis Doom, Ph.D. (Committee Member)
Pages
69 p.
Subject Headings
Computer Engineering
Keywords
FPGA
;
OpenCV
;
Image Stitching
;
image matching
;
reverse engineering
;
multimodal matching
;
hardware Trojans
;
hardware Trojan detection
;
integrated circuit
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Citations
Harris, M. J. (2019).
Accelerating Reverse Engineering Image Processing Using FPGA
[Master's thesis, Wright State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=wright155535529307322
APA Style (7th edition)
Harris, Matthew.
Accelerating Reverse Engineering Image Processing Using FPGA.
2019. Wright State University, Master's thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=wright155535529307322.
MLA Style (8th edition)
Harris, Matthew. "Accelerating Reverse Engineering Image Processing Using FPGA." Master's thesis, Wright State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=wright155535529307322
Chicago Manual of Style (17th edition)
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Document number:
wright155535529307322
Download Count:
789
Copyright Info
© 2019, some rights reserved.
Accelerating Reverse Engineering Image Processing Using FPGA by Matthew Joshua Harris 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 Wright State University and OhioLINK.