Pregled bibliografske jedinice broj: 1202519
Creating a synthetic image for evaluation of vignetting modeling and estimation
Creating a synthetic image for evaluation of vignetting modeling and estimation // 2022 45th Jubilee International Convention on Information, Communication and Electronic Technology (MIPRO) / Skala, Karolj (ur.).
Rijeka: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2022. str. 918-923 doi:10.23919/MIPRO55190.2022.9803709 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1202519 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Creating a synthetic image for evaluation of vignetting modeling and
estimation
Autori
Potoč, Dorotea ; Petrinović, Davor
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
2022 45th Jubilee International Convention on Information, Communication and Electronic Technology (MIPRO)
/ Skala, Karolj - Rijeka : Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2022, 918-923
ISBN
978-953-233-103-5
Skup
45th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2022)
Mjesto i datum
Opatija, Hrvatska, 23.05.2022. - 27.05.2022
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
vignetting correction ; starry night sky ; radial-gradient method ; synthetic image
Sažetak
Vignetting is an effect caused by camera settings or lens limitations. It is also known as the "light fall-of" where the intensity of light decreases from the middle to the edges. Vignetting has become popular in various scientific papers where attempts are made to remove vignetting by various methods. The idea of this article would be to design a synthetic image of the vignetting effect that would mimic the starry night sky. It would be made by adding random white pixels to a previously set positive constant value modeling the sky glow, also adding Gaussian or Poison noise after applying vignetting effect itself with an arbitrarily chosen center point. Parameters of the vignetting module can be set manually defining the ground truth module, thus modeling the actual multispectral lens response functions. Such an image could be used as ground truth for vignetting modeling and estimation functions to evaluate different methods and their accuracy as a function of signal to noise (SNR) ratio and noise type. The image is tested on two vignetting correction functions, both functions show great results, only the first has larger residual gain variations, especially toward the frame corners.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo
POVEZANOST RADA
Projekti:
HRZZ-IP-2019-04-6703 - Renesansa teorije uzorkovanja (SamplingRenaissance) (Seršić, Damir, HRZZ ) ( CroRIS)
--KK.01.1.1.01.009 - Napredne metode i tehnologije u znanosti o podatcima i kooperativnim sustavima (DATACROSS) (Šmuc, Tomislav; Lončarić, Sven; Petrović, Ivan; Jokić, Andrej; Palunko, Ivana) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
