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undergraduate thesis
Utjecaj gama-korekcije na izgled slike
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. urn:nbn:hr:168:215410
Loborec, Emanuel
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Loborec, E. (2019). Utjecaj gama-korekcije na izgled slike (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:215410

Loborec, Emanuel. "Utjecaj gama-korekcije na izgled slike." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:215410

Loborec, Emanuel. "Utjecaj gama-korekcije na izgled slike." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2019. https://urn.nsk.hr/urn:nbn:hr:168:215410

Loborec, E. (2019). 'Utjecaj gama-korekcije na izgled slike', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 18 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:215410

Loborec E. Utjecaj gama-korekcije na izgled slike [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2019 [cited 2024 November 18] Available at: https://urn.nsk.hr/urn:nbn:hr:168:215410

E. Loborec, "Utjecaj gama-korekcije na izgled slike", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2019. Available at: https://urn.nsk.hr/urn:nbn:hr:168:215410

Metadata
TitleUtjecaj gama-korekcije na izgled slike
Title (english)Influence of Gamma Correction on Image Appearance
AuthorEmanuel Loborec
MentorSonja Grgić (mentor)
Committee memberSonja Grgić (predsjednik povjerenstva)
Committee memberTomislav Kos (član povjerenstva)
Committee memberGordan Ježić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2019-09-04, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract
Gama-korekcija je nelinearna operacija za kodiranje i dekodiranje luminancije ili primarnih boja slike. Njena svrha je prilagoditi generiranje i prikaz slike tako da bude što sličniji percepciji ljudskog vidnog sustava. Kako vidni sustav čovjeka nelinearno percipira svjetlost, potrebno je nelinearno distribuirati svjetlost slike kako bi ona izgledala prirodno. To se radi koristeći model percepcijski uniformne kvantizacije svjetlosti. U suvremenim uređajima, svjetlost se prima i reproducira koristeći 3 komponente: crvenu, R (engl. red), zelenu, G (engl. green) i plavu, B (engl. blue), što nazivamo RGB modelom boja. Primjenu gama-korekcije na slike ostvarujemo pomoću Python programa koji koristi biblioteke NumPy, cv2, Matplotlib i Seaborn. Funkcije za obradbu slike i prikaz usporedno prikazuju originalne slike, slike obrađene različitim vrijednostima faktora gama, luminancije tih slika i pripadne histograme. Gama faktor utječe na raspodjelu veličina komponenti slike, pri čemu se s gama faktorom manjim od nula raspodjela pomiče prema minimalnoj vrijednosti intenziteta, a u suprotnome prema maksimalnoj. U skladu s time vidimo razlike u izgledu slike, pri čemu se gubi većina prepoznatljivosti slike kako se gama faktor udaljava od početne vrijednosti, koja je jedan. Zbog svojstva nelinearnosti gama-korekcije, distribucijski izražene komponente boja pri rubnim vrijednostima, nakon gama-korekcije postaju još izraženije. S druge strane, komponente srednjeg intenziteta koje su na slici malo zastupljene su također zastupljenije nakon gama-korekcije, što vizualno izmjenjuje boje u slici.
Abstract (english)
Gamma-correction is a non-linear operation for coding and decoding luminance or primary colors of an image. Its purpose is to adjust display of an image, in accordance with the human visual perception. The nonuniform perception of intensity requires a nonlinear distribution of light to look natural, so the model of perceived uniform quantization of light is used. In modern devices, light is captured and emitted with 3 components: red, green and blue, which form the RGB color model. Gamma-correction is applied using a Python program which uses NumPy, cv2, Matplotlib and Seaborn libraries. Functions for adjusting images and their display comparatively show original images, adjusted images with different gamma values, their luminances and belonging histograms. Gamma value affects the distribution of image components, by moving the distribution to the minimal values if the gamma value is smaller than 1 and the opposite if the gamma value is larger than 1. The image appearance is changed according to the histogram. As gamma value is further from 1, more details of an image are changed to too bright or too dark. Because of nonlinear nature of gamma correction, more high values of an image get even higher after the transformation. Furthermore, components of medium intensity are also more frequent after the transformation, which greatly visually impacts the colors on the image.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:215410
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
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Created on2020-01-07 19:43:22