A novel algorithm for salient region extraction is presented. First, three characteristics graphs of brightness, color, the orientation of the original image are extracted respectively. Then, multi-scale image features of the three characters are combined into one saliency map. Therein the color feature is obtained in frequency domain, which can simplify the algorithm complexity and make it come true easily. In orientation feature extraction, a new characteristic function is used to make the orientation feature map more complete than Gabor function. The experiment results show that the method proposed is easier to be realized and can extract more obvious salient maps than Itti model. In image retargeting we demonstrate that using our saliency prevents distortions in the important regions.