3D image quality index using SDP-based binocular perception model
A novel quality index for stereoscopic image pairs is proposed in this work. First, we introduce a parameter called the structural distortion parameter (SDP), which varies according to different distortion types. Then, we use the SDP as a control parameter in a binocular perception model, and apply it into three components of SSIM to obtain an overall quality index. In the proposed framework, the binocular model accommodates distortion types and distortion degrees and, therefore, offers robust quality assessment results for both symmetric and asymmetric distortions. It is shown by experimental results that the proposed index outperforms several existing 3D image quality index methods.