An objective stereoscopic image quality assessment method based on disparity space image
Jiang Qiu-pin · Journal of Optoelectronics·laser · 2013
Stereoscopic image quality assessment is an effective way to evaluate the performance of stereoscopic video system.However,how to utilize human visual characteristics in quality assessment is still an issue.In this paper,an objective stereoscopic image quality assessment method based on disparity space image(DSI)is proposed.In this method,we first construct DSIs from the original and distorted stereoscopic images,respectively.Then,three-dimensional discrete cosine transformation(3D-DCT)and principal component analysis are used to extract the stereoscopic image feature information from the DSIs that reflect the image quality and depth perception.Finally,support vector regression(SVR)is performed to predict the objective scores of stereoscopic images by establishing the relationship between the stereoscopic image feature information and the subjective scores.Experimental results show that compared with other methods,the Pearson linear correlation coefficient(PLCC)and Spearman rank-order correlation coefficient(SROCC)indicators reach 0.94on symmetric stereoscopic image database,and the PLCC indicator reaches 0.94and the SROCC indicator reaches 0.91on asymmetric stereoscopic image database,which indicate the proposed method can achieve higher consistency with subjective assessment of stereoscopic images for both symmetric and asymmetric databases.