Thesis Details
Bezeztrátová komprese plenoptických fotografií
This thesis is focused on lossless light-field images compression, where it could be viable to extend common predictors into more dimensions. First chapter is regarding to essential theory about light-field images and 4D light-field, which is followed by description of every predictor and coder. With this is connected description of used compression pipeline. Last chapters contains description of solution and differences between every predictor result and theirs dimensional variant. At the end the results are compared with PNG. The result is that some 4D variants of implemented predictors have better compression rate than PNG.
lossless compression, prediction, plenoptic photography, entropy coder, color model, dictionary methods, deflate
Bartík Vladimír, Ing., Ph.D. (DIFS FIT BUT), člen
Bařina David, Ing., Ph.D. (DCGM FIT BUT), člen
Jaroš Jiří, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Kočí Radek, Ing., Ph.D. (DITS FIT BUT), člen
@bachelorsthesis{FITBT21823,
author = "Robert Navr\'{a}til",
type = "Bachelor's thesis",
title = "Bezeztr\'{a}tov\'{a} komprese plenoptick\'{y}ch fotografi\'{i}",
school = "Brno University of Technology, Faculty of Information Technology",
year = 2019,
location = "Brno, CZ",
language = "czech",
url = "https://www.fit.vut.cz/study/thesis/21823/"
}