Fast and accurate estimation of the transformation imposed by the illuminant to the colors of an image taken under that illuminant is of crucial importance in real-time computational color constancy applications. To this end, we present an edge based and an efficient chromaticity spatio-spectral model which are modified versions of the spatio-spectral method introduced by Chakrabarti et al [1]. As compared with the conventional color constancy methods, the spatio-spectral model improves the accuracy of estimation at the cost of increasing the execution time and storage dramatically. This increase makes the spatio-spectral model impractical and inappropriate for real-time applications. Our proposed methods aim at reducing the computational burden and required storage for the spatio-spectral modeling while retaining its accuracy of estimation. Evaluation of the performance of the proposed methods on a synthetic color image database and also the "Color Checker" database [2] are presented.
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