Abstract: Traditional saliency map models are usually based on grayscale images and auxiliary color antagonism channels, not carefully considering the relations of the key saliency elements such as relations among color channels and orientations. To overcome this disadvantage, in this paper, we introduce the complementary color theory into the wavelet designs and propose a holistic color saliency map model based on the Gaussian scale mixture (GSM) of natural scene statistics and its Divisive normalization transformation (DNT) in the wavelet domain. The experimental results show that our model achieves better consistency with the visual attention mechanism of the human eyes, especially in processing colorful scenes.