Thesis Details
Hardwarová akcelerace filtrace obrazu
This master's thesis contains introduction to image filtration problems, especially to theoretical outlets, whose origin lies in linear systems theory and mathematical function analysis. There are described some approaches and methods which are used to image smoothing and for edge detection in an image. Mainly Sobel operator, Laplace operator and median filter are covered. The main contents of this project is discussion of some approaches of hardware acceleration of image filtering and design of time effective software and hardware implementations of filters in a form of program functions and combinational circuits using theoretical knowledges about time complexity of algorithms. Hardware and software implementation of named filters was done too. For every filter, time of filtration was measured and results were compared and analyzed.
Image filtration, Laplace operator, Sobel operator, median filter, FPGA, FITkit, edge detection, image smoothing, image filtration acceleration
Dočkal Jaroslav, doc. Ing., CSc. (UNOB), člen
Drábek Vladimír, doc. Ing., CSc. (DCSY FIT BUT), člen
Kolář Dušan, doc. Dr. Ing. (DIFS FIT BUT), člen
Kršek Přemysl, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Peringer Petr, Dr. Ing. (DITS FIT BUT), člen
@mastersthesis{FITMT5243, author = "Martin Fiala", type = "Master's thesis", title = "Hardwarov\'{a} akcelerace filtrace obrazu", school = "Brno University of Technology, Faculty of Information Technology", year = 2007, location = "Brno, CZ", language = "czech", url = "https://www.fit.vut.cz/study/thesis/5243/" }