For Gaussian blur distorted stereoscopic images, a no-reference image quality assessment method is proposed based on the Bidimensional Empirical Mode Decomposition (BEMD). In the method, intrinsic mode function components and residual image are firstly produced by applying BEMD. Then, the statistical information (mean, variance and entropy), and shape and scale parameters are obtained by applying generalized Gaussian distribution method on the intrinsic mode function components, to form stereoscopic image feature information. Finally, support vector regression is performed to predict the objective scores by establishing the relationship between the stereoscopic image features and the subjective scores. Experimental results show that, the proposed method can achieve higher consistency with subjective assessment of stereoscopic images for Gaussian blur distorted stereoscopic images.