The work aims to study new full reference image quality assessment methods in view of color. First, two image features like color and contrast saliency were extracted from Lab color space based on color information. Then color feature was combined with gradient map and contrast ratio was combined with local scope of image to propose different image quality assessment methods respectively. The mentioned algorithms and 14 other classic algorithms were evaluated by four common indexes. The assessment result showed that the proposed two new algorithms were generally better than all other ones. In conclusion, it is an effective way to study image quality assessment from aspect of color visual saliency feature.