Thesis Details
Využití vlnkové transformace při zpracování obrazu
The wavelet transform has been used for several decades and it is still an object of research - especially its recent modifications which are using the so-called second generation wavelets. It has several advantages over other integral transformations. The most important of them are the ability to localize both in time and frequency and an ability to decorrelate some real non-stationary signals such as images. For this reasons, the wavelet transform became an often used tool in many image processing tasks, for example in image compression, edge detection or contrast enhancement. In this thesis, the wavelet transform is explained, including the theoretical foundation and implementation for use with two-dimensional discrete signals. Some of the applications of the wavelet transform are presented and described. The wavelet transform showed to be suitable tool for edge detection, noise reduction, contrast enhancement and HDR compression.
wavelet transform, image processing, edge detection, noise reduction, contrast enhancement, HDR compression
Herout Adam, prof. Ing., Ph.D. (DCGM FIT BUT), člen
Rogalewicz Adam, doc. Mgr., Ph.D. (DITS FIT BUT), člen
Sedlák Petr, doc. Ing., Ph.D. (DPHYS FEEC BUT), člen
Szőke Igor, Ing., Ph.D. (DCGM FIT BUT), člen
Vašíček Zdeněk, doc. Ing., Ph.D. (DCSY FIT BUT), člen
@mastersthesis{FITMT17080, author = "Martin Dost\'{a}l", type = "Master's thesis", title = "Vyu\v{z}it\'{i} vlnkov\'{e} transformace p\v{r}i zpracov\'{a}n\'{i} obrazu", school = "Brno University of Technology, Faculty of Information Technology", year = 2015, location = "Brno, CZ", language = "czech", url = "https://www.fit.vut.cz/study/thesis/17080/" }