This paper presents a nonreference image quality assessment method based on correlation gradient feature and AdaBoost back propagation (BP) neural network. In this method, firstly the Gaussian filter is used to obtain the horizontal and vertical direction derivative, then the relevant gradient feature is extracted, then calculate the histogram variance, and then the BP neural network is trained to obtain Liu Bin the weak classifier, Finally, strong classifier is obtained by AdaBoost algorithm. The image quality scores is predicted based on the strong classifier. The experiment results show that the results of this method are reasonable, stable, consistency with human visual characteristics, and subjective score has a good consistency. This method is simple and achieved good evaluation results.