Evaluating the short comings of Color Constancy Algorithms

Abstract: This paper is a review on existing color constancy algorithms. The color constancy is a procedure that measures the influence of different light sources on a digital image. The image traced by a camera depends on three issue: the physical content of the view, the illumination incident on the scene, and the characteristics of the camera. The aim of the computational color constancy is to account for the effect of the illuminate .Many traditional methods as Grey-world method, Max RGB and learning-based method were used to evaluate the color constancy of digital images influenced by light source. All these process have an obvious disadvantage that the light source across the scene is spectrally uniform. This assumption is often violated as there might be more than one light source illuminating the scene. For instance, indoor scenes could be affected by both indoor and outdoor illumination, each having distinct spectral power distributions. The overall objective of this paper is to find the short comings of earlier work on color constancy.

Keywords: COLOR CONSTANCY, ILLUMINATES, LIGHT SOURCE, GRAY WORLD AND NON LOCAL MEANS.