Naslov
On Some Desired Properties of Data Augmentation by Illumination Simulation for Color Constancy
(On Some Desired Properties of Data Augmentation by Illumination Simulation for Color Constancy)

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

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

Izvornik
Computer Science & Information Technology / Wyld, David C. - : AIRCC Publishing Corporation, 2020, 27-38

Skup
9th International Conference on Signal, Image Processing and Pattern Recognition (SPPR 2020)

Mjesto i datum
Sydney, Australija, 19.12.2020. - 20.12.2020

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
color constancy ; data augmentation ; illumination estimation ; image enhancement ; white balancing

Sažetak
Computational color constancy is used in almost all digital cameras to reduce the influence of scene illumination on object colors. Many of the highly accurate published illumination estimation methods use deep learning, which relies on large amounts of images with known ground-truth illuminations. Since the size of the appropriate publicly available training datasets is relatively small, data augmentation is often used also by simulating the appearance of a given image under another illumination. Still, there are practically no reports on any desired properties of such simulated images or on the limits of their usability. In this paper, several experiments for determining some of these properties are proposed and conducted by comparing the behavior of the simplest illumination estimation methods on images of the same scenes obtained under real illuminations and images obtained through data augmentation. The experimental results are presented and discussed.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA