Abstract:

In this paper, a reduced reference stereoscopic image quality assessment (SIQA) method is proposed based on the internal generative mechanism (IGM) and depth perception. The method determines 3D quality of experience (QoE) by focusing on image quality and depth perception quality. For image quality, a stereoscopic image is decomposed into a predicted portion and an uncertain portion according to IGM of the brain, handled with the metric based on gray level co-occurrence matrices (GLCM) and visual information separately. The depth perceptual quality is measured with an improved natural scene statistics (NSS) model. The image quality and depth perception quality are then integrated to obtain the overall quality. Experimental results show that the proposed metric outperforms the state-of-the-art metrics and is consistent to subjective ratings over widely used databases.

Key words: stereoscopic image quality assessment (SIQA), internal generative mechanism (IGM), gray level co-occurrence matrices (GLCM), visual information, natural scene statistics (NSS)