  The aim of colour constancy is to discount the effect of the scene
illumination from the image colours and restore the colours of the objects as
captured under a 'white' illuminant. For the majority of colour constancy
methods, the first step is to estimate the scene illuminant colour. Generally,
it is assumed that the illumination is uniform in the scene. However, real
world scenes have multiple illuminants, like sunlight and spot lights all
together in one scene. We present in this paper a simple yet very effective
framework using a deep CNN-based method to estimate and use multiple
illuminants for colour constancy. Our approach works well in both the multi and
single illuminant cases. The output of the CNN method is a region-wise estimate
map of the scene which is smoothed and divided out from the image to perform
colour constancy. The method that we propose outperforms other recent and state
of the art methods and has promising visual results.
