Illuminant estimation is the primary step to solve the colour constancy problem. Already, various unitary algorithms were proposed to estimate illuminant chromaticity. Since the existing methods are all based on specific spatial and spectral characteristics of images, there is no unique algorithm which can perform well on images with different settings and scenes. Therefore, this paper proposes an illuminant estimation framework which combines the best performing unitary methods using dynamic weight. The proposed method uses edge and colour features to generate the dynamic weight. Experimental results on real-world data set clearly demonstrate the effectiveness of the proposed method.