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master's thesis
Obnavljanje slike degradirane kišom
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. urn:nbn:hr:168:914274
Milić, Filip
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Milić, F. (2021). Obnavljanje slike degradirane kišom (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:914274

Milić, Filip. "Obnavljanje slike degradirane kišom." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:914274

Milić, Filip. "Obnavljanje slike degradirane kišom." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:914274

Milić, F. (2021). 'Obnavljanje slike degradirane kišom', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 27 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:914274

Milić F. Obnavljanje slike degradirane kišom [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2024 December 27] Available at: https://urn.nsk.hr/urn:nbn:hr:168:914274

F. Milić, "Obnavljanje slike degradirane kišom", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:914274

Metadata
TitleObnavljanje slike degradirane kišom
Title (english)Restoration of Images Degraded by Rain
AuthorFilip Milić
MentorSven Lončarić (mentor)
Committee memberSven Lončarić (predsjednik povjerenstva)
Committee memberMarko Subašić (član povjerenstva)
Committee memberTomislav Petković (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-07-09, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U sustavima računalnih vida --- bilo da se temelje na obradi videa ili statičkih slika --- česta je pojava degradacija uzrokovana prirodnim elementima. Jedna od takvih degradacija je uzrokovana kišom, koja znatno utječe na moderne sustave zadužene za praćenje objekta u pokretu. Počevši od te problematike, razvija se problem uklanjanja takve degradacije sa jedne slike, koja se ne može oslanjati na vremensku domenu u oklanjanju kišnih anomalija. Ovaj rad detaljno prolazi kroz koncepte i raznovrsne metode uklanjanja kiše sa slike temeljenih na dubokom učenju. Također prolazi kroz implementaciju i rezultate dvije od njih.
Abstract (english)
In modern computer vision systems --- be they based on processing videos or static images --- a common occurrence is degradation of input data by natural elements. One such degradation is caused by rain, which severely impacts systems, such as the ones for motion detection. Using that as a starting point, a sub-domain of problem-solving is developed for removing rain from purely static images, which cannot rely on the existence of a time domain for removing anomalies caused by rain. This work goes into the key concepts and various methods of single-image rain removal, primarily based on deep learning. In addition, it details the implementation and results of two of such methods.
Keywords
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:168:914274
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2023-01-13 13:12:39