Authors:
Karlo Koščević
;
Nikola Banić
and
Sven Lončarić
Affiliation:
Image Processing Group, Department of Electronic Systems and Information Processing, Faculty of Electrical Engineering and Computing, University of Zagreb, 10000 Zagreb and Croatia
Keyword(s):
Chromaticity, Color Constancy, Genetic Algorithm, Illumination Estimation, Image Enhancement, White Balancing.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Image Enhancement and Restoration
;
Image Formation and Preprocessing
;
Image Formation, Acquisition Devices and Sensors
;
Image Generation Pipeline: Algorithms and Techniques
Abstract:
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.