The illuminant estimation has an important role in many domain applications such as digital still cameras and mobile phones, where the final image quality could be heavily affected by a poor compensation of the ambient illumination effects. In this paper we present an algorithm, not dependent on the acquiring device, for illuminant estimation and compensation directly in the color filter array ...

A system of illuminant-independent color reproduction has been developed for practical use in medicine, and its performance was subjectively evaluated by a group of healthcare professionals of various specialties. For medical diagnosis, it is important to archive image data of diseased skin for the purpose of visually reviewing its chronological changes. However, sufficient color reproduction q...

Human performance on color discrimination in visual display terminals may be affected by illuminant colors, the level of ambient illumination and background colors of the monitor. Few studies have focused on this topic. This study investigated human color discrimination ability in a simulated control room. Ten subjects were recruited as participants to perform a series of experimental tasks. A ...

A method is described for estimating the illuminant spectra of an omnidirectional light distribution from the images of a camera aiming at a mirrored ball. First, we introduce an imaging system using a spherical steel ball and a normal color CCD camera. The parameters including the optical axis and the focal length of the camera lens are estimated to determine the mapping between coordinates on...

We present a linear algorithm for the computation of the illuminant change occurring between two color pictures of a scene. We model the light variations with the von Kries diagonal transform and we estimate it by minimizing a dissimilarity measure between the piecewise inversions of the cumulative color histograms of the considered images. We also propose a method for illuminant invariant imag...

Illuminant estimation to achieve color constancy is an illposed problem. Searching the large hypothesis space for an accurate illuminant estimation is hard due to the ambiguities of unknown reflections and local patch appearances. In this work, we propose a novel Deep Specialized Network (DS-Net) that is adaptive to diverse local regions for estimating robust local illuminants. This is achieved...

Computational color constancy aims to estimate the actual color in an acquired scene disregarding its illuminant. Several strategies have been proposed in the last few years. In general these require some information about the camera being used, or exploit the statistical properties of the expected illuminants and surface reflectances. From a computational perspective, once the illuminant has b...