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A Novel No-Reference Stereoscopic Image Quality Assessment Method

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4 Author(s)
Feng Shao ; Fac. of Inf. Sci. & Eng., Ningbo Univ., Ningbo, China ; Shanbo Gu ; Gangyi Jang ; Mei Yu

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.

Published in:

Photonics and Optoelectronics (SOPO), 2012 Symposium on

Date of Conference:

21-23 May 2012