A Natural Scene Statistical Saliency Map Model for Color Images
Huang Hon · Fudan xuebao. Ziran Kexue ban · 2014
A natural scene statistical saliency map model for color images is proposed.Based on the Gaussian scale mixture distribution of natural scene statistics,the multiplier variable in the Gaussian scale mixture distribution is extracted to model the saliency map of different channels of natural images,based on the processing mechanism of the human visual system.The experimental results prove that the consistency with the visual attention mechanism of human visual system is improved by combining the color double-opponent channels.The comparison results with the ROC(Receiver Operating Characteristics) curves and their AUC s(Area Under the Curve) of the images from the open databases demonstrate that the proposed saliency map model is better than those reported.