Obnavljanje slike degradirane kišom

master's thesis

• Title (english): Restoration of Images Degraded by Rain
• Author: Filip Milić
• Mentor: Sven Lončarić (mentor)
• Committee member: Sven Lončarić (predsjednik povjerenstva)
• Committee member: Marko Subašić (član povjerenstva)
• Committee member: Tomislav Petković (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2021-07-09, 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: kiša; obrada slike; duboko učenje; degradacija; filtriranje
• Keywords (english): rain; image processing; deep learning; degradation; filtering
• Language: english
• URN:NBN: urn:nbn:hr:168:914274
• Study programme: Title: Computing; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2023-01-13 13:12:39