Gaining Colour Stability in Live Image Capturing

Abstract

Digital colour cameras are dramatically falling in price, making them affordable for ubiquitous appliances in many applications. An attempt to use colour information reveals a significant problem that usually escapes our awareness. Due to the adaptive nature of the human visual system in most cases we do not recognise most changes in illumination characteristics, a camera however will measure scenes under changing illumination differently. Attempts to deduce object colour from the images will need to cope with the influence of the illumination and the camera's characteristics. Furthermore, a large variety of colour spaces are available to describe colour. Differences between them and their fitness to quantify colour are discussed. This paper tries to establish a basic understanding of the intricacies behind the processes involved in capturing images and recognising colour-from light as a stimulus to the colour sensed values in cameras. The goal is to outline a novel approach fusing common industrial best practices with dynamic adaptation capabilities needed for robustly measuring colour using cameras in real-time. First positive results towards improving colour based reasoning on adaptable colour spaces are stated as an outlook for further development directions.

Dynamic colour adaptation for colour object tracking

“…Bystanders may shadow more or less secondary light sources, indirect daylight through open windows may change its quality due to clouds, etc. Methodologies on obtaining colour stability in these environments by means of ICC profile based colour correction and de-coupled profile adaptation have been described previously [11]. This paper focuses on the actual algorithm to obtain an updated ICC profile.…”