Thesis Details
Detekce a vylepšení kvality objektu obličeje osoby v nekvalitních zdrojových snímcích
The aim of this thesis was to construct an algorithm for the detection of human face from poor quality source images and subsequently improving the image of human face. The result of the work is an application with a graphical interface which detects human face objects from the input images and then improves these inherited faces from the point of quality and size. When creating the application, current techniques and algorithms such as neuron networks were used. They formed the basis for detection and image improvement, S3FD detection and last but not least the GAN network to improve the image. Part of the thesis is testing the individual parts of the application in predefined scenarios as well as testing a comprehensive run application.
detection, image enhancement, neural network, S3FD, GAN
Bartík Vladimír, Ing., Ph.D. (DIFS FIT BUT), člen
Bařina David, Ing., Ph.D. (DCGM FIT BUT), člen
Kočí Radek, Ing., Ph.D. (DITS FIT BUT), člen
Vašíček Zdeněk, doc. Ing., Ph.D. (DCSY FIT BUT), člen
@bachelorsthesis{FITBT23385,
author = "Richard \v{S}oltis",
type = "Bachelor's thesis",
title = "Detekce a vylep\v{s}en\'{i} kvality objektu obli\v{c}eje osoby v nekvalitn\'{i}ch zdrojov\'{y}ch sn\'{i}mc\'{i}ch",
school = "Brno University of Technology, Faculty of Information Technology",
year = 2021,
location = "Brno, CZ",
language = "slovak",
url = "https://www.fit.vut.cz/study/thesis/23385/"
}