No-reference image quality assessment is an important task in image p rocessing related applications.In order to achieve quality evaluation for the distorted stereoscopic images with d ifferent types of distortion,a no-reference stereoscopic image quality assessment method is proposed based on binocular energy response.In the method,local features are first obtained by applying Gabor filtering on differe nt frequencies,directions and disparities for the distorted stereoscopic images.Then,these local features ar e fused as stereoscopic features. Finally,support vector regression (SVR) is performed to predict the objective sc ores by establishing the relationship between the stereoscopic features and the subjective scores.Experimental result s show that compared with full-reference and no-reference methods,the Pearson linear correlation coeffi cient (PLCC) index reaches 0.92, and the Spearman rank order correlation coefficient (SROCC) index reaches 0.93for NBU-3D database while the PLCC index reaches 0.96,and the SROCC index reaches 0.96for LIVE-3D database,respectively,which indicate that the proposed method can achieve higher consistency with subjective assessment of stereoscopic images.