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master's thesis
Umjetno degradiranje kvalitete slike
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. urn:nbn:hr:168:098916
Novak, Marta
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Novak, M. (2020). Umjetno degradiranje kvalitete slike (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:098916

Novak, Marta. "Umjetno degradiranje kvalitete slike." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:098916

Novak, Marta. "Umjetno degradiranje kvalitete slike." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:098916

Novak, M. (2020). 'Umjetno degradiranje kvalitete slike', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 20 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:098916

Novak M. Umjetno degradiranje kvalitete slike [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2020 [cited 2024 December 20] Available at: https://urn.nsk.hr/urn:nbn:hr:168:098916

M. Novak, "Umjetno degradiranje kvalitete slike", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:168:098916

Metadata
TitleUmjetno degradiranje kvalitete slike
Title (english)Artificial degradation of image quality
AuthorMarta Novak
MentorSonja Grgić (mentor)
Committee memberSonja Grgić (predsjednik povjerenstva)
Committee memberTomislav Kos (član povjerenstva)
Committee memberDario Bojanjac (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2020-07-14, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Ovaj radi bavi se problematikom umjetne degradacije slika s naglaskom na primjenu u autonomnim vozilima. Degradacije kvalitete odnosi se na zamućenje, šum i izobličenja u slici te opstrukciju vidljivosti dijelova slike. Dan je pregled javno dostupnih baza za autonomna vozila i opis postojećih postupaka za degeneriranje slika. Napravljena je analiza karakteristika degradiranih slika i usporedba sa slikama bez degradacije. Na temelju provedene analize u programskom paketu MATLAB definiran je model za umjetno degradiranje slika. Dobivene slike korištene su za treniranje klasifikatora uz verifikaciju generaliziranja modela na stvarnim primjerima degradiranih slika.
Abstract (english)
This thesis addresses the problems of artificial image degradation with a focus on application in autonomous vehicles. Degradation of image quality refers to image haze, noise, distortion, and obstruction of visibility of particular image segments. An overview of publicly available databases for autonomous vehicles has been addressed, as well as descriptions of existing image degradation models. An analysis of the characteristics of degraded images, versus undegraded images has been made as well. Based on the carried out analysis in the program package MATLAB, a model for artificial image degradation has been defined. The resulting images were used for training classifier along with model verification on real examples of degraded images.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:098916
Study programmeTitle: Information and Communication Technology
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka informacijske i komunikacijske tehnologije (magistar/magistra inženjer/inženjerka informacijske i komunikacijske tehnologije)
Type of resourceText
File originBorn digital
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Created on2023-01-13 09:17:49