Thesis Details
Techniky používané pro ostření a rozmazávání obrazu
This work is dedicated to methods used for digital image editing. It defines fundamental terms for this work as color space or noise. Above all, it analyses methods allowing image sharpening and blurring. It describes some of the most known algorithms from the theoretical point of view, but also introduces their implementation in C programming language. There are compared according to time complexity. The purpose of this work is to introduce digital image filtering and demonstrate elementary procedures used for their implementation.
noise, color space, RGB, HLS, sharpening, edge, Laplacian operator, convolution, Unsharp masking, Sobel operator, Robinson operator, Kirsch operator, Canny edge detector, blurring, avraging, Bilateral filter, Gaussian blur, median filter, conservative filter
Kreslíková Jitka, doc. RNDr., CSc. (DIFS FIT BUT), člen
Kršek Přemysl, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Linhart Miroslav, doc. Ing., CSc. (DCSY FIT BUT), člen
Lukáš Roman, Ing., Ph.D. (DIFS FIT BUT), člen
Ráček Jaroslav, RNDr., Ph.D. (FI MUNI), člen
@bachelorsthesis{FITBT5386, author = "Ji\v{r}\'{i} Kub\'{i}nek", type = "Bachelor's thesis", title = "Techniky pou\v{z}\'{i}van\'{e} pro ost\v{r}en\'{i} a rozmaz\'{a}v\'{a}n\'{i} 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/5386/" }