No-reference perceptual quality assessment of stereoscopic images based on binocular visual characteristics

作者：

Highlights：

• In this paper, we propose a blind/no-reference stereoscopic 3D image quality assessment scheme that utilizes binocular visual characteristics.

• The major technical contribution is the introduction of binocular features and binocular energy for stereoscopic image quality prediction.

• The effectiveness of the designed metric is verified on the publicly available 3D image quality assessment databases.

• Experimental results show that the proposed scheme achieves superiority over other related algorithms in terms of consistent alignment with subjective assessment of stereoscopic images.

摘要

•In this paper, we propose a blind/no-reference stereoscopic 3D image quality assessment scheme that utilizes binocular visual characteristics.•The major technical contribution is the introduction of binocular features and binocular energy for stereoscopic image quality prediction.•The effectiveness of the designed metric is verified on the publicly available 3D image quality assessment databases.•Experimental results show that the proposed scheme achieves superiority over other related algorithms in terms of consistent alignment with subjective assessment of stereoscopic images.

论文关键词：3D image quality assessment,No-reference,Local amplitude and phase,Visual saliency,Support vector regression

论文评审过程：Received 5 September 2018, Revised 16 March 2019, Accepted 16 March 2019, Available online 25 April 2019, Version of Record 29 April 2019.

论文官网地址：https://doi.org/10.1016/j.image.2019.03.011