Naslov
Color Beaver: Bounding Illumination Estimations for Higher Accuracy

Autori
Koščević, Karlo ; Banić, Nikola ; Lončarić, Sven

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP 2019) / - , 2019, 183-190

ISBN
978-989-758-354-4

Skup
International Conference on Computer Vision Theory and Applications (VISAPP)

Mjesto i datum
Prag, Češka Republika, 25.02.2019. - 27.02.2019

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Chromaticity, Color Constancy, Genetic Algorithm, Illumination Estimation, Image Enhancement, White Balancing

Sažetak
The image processing pipeline of most contemporary digital cameras performs illumination estimation in order to remove the influence of illumination on image scene colors. In this paper an experiment is described that examines some of the basic properties of illumination estimation methods for several Canon’s camera models. Based on the obtained observations, an extension to any illumination estimation method is proposed that under certain conditions alters the results of the underlying method. It is shown that with statistics-based methods as underlying methods the proposed extension can outperform camera’s illumination estimation in terms of accuracy. This effectively demonstrates that statistics-based methods can still be successfully used for illumination estimation in digital cameras. The experimental results are presented and discussed. The source code is available at https://ipg.fer.hr/ipg/resources/color_constancy.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA