In this paper,a no-reference image qu ality assessment method based on joint dictionary is proposed for auth entically distorted images,which can be divided into two stages:training and testing.In the training stage,firstly, the aesthetic features and natural scene statistical features are extracted resp ectively from the distorted images,and the image features and labels are used to train the feature and quality dictiona ries.In the testing stage,the quality of a testing distorted image is calculated according to the feature and quality dictionaries.Experimental results on the LIVE Challenge database show that compared with the traditional n o n-reference methods,the evaluation results of this method are well correlated with the subjective evalua tion results,which accords with the perception of the human visual system.