A Quality Assessment Method of Stereoscopic Images Based on Human Visual System
Wang A-hong, Yu Mei, Zongju Peng, Xu Wang, Gangyi Jiang, Junming Zhou -, Feng Shao · Guangdian gongcheng · 2011
Through simulating contrast sensitivity function, multi-channel effects and stereoscopic perception of human visual system, a quality assessment method of stereoscopic images based on human visual system is proposed. In the quality evaluation of left and right images by computing Canberra distance, wavelet transform was used to simulate multi-channel effects and wavelet coefficients of different spatial frequency were weighted according to the contrast sensitivity function. The proposed method calculated similarity of the absolute disparity images of the original and test stereoscopic images to assess the stereoscopic perception. Then regression analysis was used to integrate the two evaluation results into an equation as our quality assessment model of stereoscopic images. Experimental results show that the proposed objective method achieves consistent stereoscopic image quality evaluation results with subjective assessment.