A Novel No-Reference Stereoscopic Image Quality Assessment Method
Feng Shao, Shanbo Gu, Gangyi Jang, Mei Yu · 2012
No-reference stereoscopic image quality assessment (NR-SIQA) is an important research issue in three- dimensional researches. In this paper, a novel NR- SIQA method is proposed by analyzing the detail characteristic of the specific distortion type, and distortion-specific features are extracted to describe the distorted stereoscopic image. The relationship between stereoscopic features and subjective score is established by using support vector regression (SVR). Experimental results show that compared with the full-reference structural similarity image quality (SSIM) assessment method, the proposed method is more effective in quantifying image quality.