Pregled bibliografske jedinice broj: 645018
Using the Random Sprays Retinex algorithm for global illumination estimation
Using the Random Sprays Retinex algorithm for global illumination estimation // Proceedings of the 2nd Croatian Computer Vision Workshop / Lončarić, Sven ; Šegivć, Siniša (ur.).
Zagreb: Fakultet elektrotehnike i računarstva Sveučilišta u Zagrebu, 2013. str. 3-8 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 645018 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Using the Random Sprays Retinex algorithm for global illumination estimation
Autori
Banić, Nikola ; Lončarić, Sven
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 2nd Croatian Computer Vision Workshop
/ Lončarić, Sven ; Šegivć, Siniša - Zagreb : Fakultet elektrotehnike i računarstva Sveučilišta u Zagrebu, 2013, 3-8
Skup
2nd Croatian Computer Vision Workshop
Mjesto i datum
Zagreb, Hrvatska, 19.09.2013
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
white balance ; color constancy ; Retinex ; Random Sprays Retinex ; sampling
Sažetak
In this paper the use of Random Sprays Retinex (RSR) algorithm for global illumination estimation is proposed and its feasibility tested. Like other algorithms based on the Retinex model, RSR also provides local illumination estimation and brightness adjustment for each pixel and it is faster than other path-wise Retinex algorithms. As the assumption of the uniform illumination holds in many cases, it should be possible to use the mean of local illumination estimations of RSR as a global illumination estimation for images with (assumed) uniform illumination allowing also the accuracy to be easily measured. Therefore we propose a method for estimating global illumination estimation based on local RSR results. To our best knowledge this is the first time that RSR algorithm is used to obtain global illumination estimation. For our tests we use a publicly available color constancy image database for testing. The results are presented and discussed and it turns out that the proposed method outperforms many existing unsupervised color constancy algorithms.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo
POVEZANOST RADA
Projekti:
036-0362214-1989 - Inteligentne metode obrade i analize slika (Lončarić, Sven, MZO ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Profili:
Nikola Banić
(autor)