In order to achieve quality assessment for the distorted stereo images with different types of distortions,a stereo image quality objective assessment method based on human vi sual system (HVS) is proposed in this paper.This method assesses the stereo image in two aspects,imag e fidelity and stereo sense.In view of the image quality,the original and distorted stereo images ar e divided into five bandpass images.The contrast sensitivity function plays an important role in op timizing the distorted bandpass images and masking effect is simulated.The original bandpass images an d the perceptive errors are synthesized and the signal-to-noise ratio as the performance index of evaluating stereo image quality.As for the stereo sense,this paper focuses on the absolute dispa rity images and simulates them.At last,the signal-to-noise ratio is calculated.The experimental results show that the Pearson linear correlation coefficient (PLCC) index and the Spearman rank correction coefficient (SRCC) index by using the pr oposed method are both superior to existing assessment methods in the assessment results for stereo images with different ty pes of distortions.