prikaz prve stranice dokumenta Algoritmi za uklanjanje izmaglice u digitalnim fotografijama
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undergraduate thesis
Algoritmi za uklanjanje izmaglice u digitalnim fotografijama
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. urn:nbn:hr:168:111534
Pavić, Iva
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Pavić, I. (2017). Algoritmi za uklanjanje izmaglice u digitalnim fotografijama (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:111534

Pavić, Iva. "Algoritmi za uklanjanje izmaglice u digitalnim fotografijama." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:111534

Pavić, Iva. "Algoritmi za uklanjanje izmaglice u digitalnim fotografijama." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:111534

Pavić, I. (2017). 'Algoritmi za uklanjanje izmaglice u digitalnim fotografijama', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 26 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:111534

Pavić I. Algoritmi za uklanjanje izmaglice u digitalnim fotografijama [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2017 [cited 2024 November 26] Available at: https://urn.nsk.hr/urn:nbn:hr:168:111534

I. Pavić, "Algoritmi za uklanjanje izmaglice u digitalnim fotografijama", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:168:111534

Metadata
TitleAlgoritmi za uklanjanje izmaglice u digitalnim fotografijama
Title (english)Haze Removal Algorithms for Digital Photography
AuthorIva Pavić
MentorDavor Petrinović (mentor)
Committee memberDavor Petrinović (predsjednik povjerenstva)
Committee memberTomislav Petković (član povjerenstva)
Committee memberIgor Mijić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2017-09-20, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract
Ljudski mozak lako prepoznaje izmaglicu na slikama bez dodatnih informacija, međutim računalu su one nužno potrebne. Ovaj rad se bavi opisom i implementacijom dvaju algoritama koji zasnivaju svoje pretpostavke na parametrima na fotografijama na koje izmaglica ima utjecaj. Pretpostavka tamnim kanalom se zasniva na tamnim pikselima, a pretpostavka prigušenjem boja na zasićenju i intenzitetu svjetlosti piksela. Opisani su matematički modeli iza algoritama i međusobno uspoređeni njihovi rezultati.
Abstract (english)
The human brain easily recognizes the haze in the images without any additional information, however it's necessary for computation. This paper deals with the description and implementation of two algorithms that base their assumptions on parameters in photographs that are affected by haze. Dark channel prior is based on dark pixels while color attenuation prior is based on difference between saturation and brightness. Mathematical models behind algorithms.are described and their results are compared.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:111534
Study programmeTitle: Electrical Engineering and Information Technology
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektrotehnike i informacijske tehnologije (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka elektrotehnike i informacijske tehnologije)
Type of resourceText
File originBorn digital
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Created on2019-03-13 23:40:41