No-reference Stereoscopic Image Quality Assessment Using Natural Scene Statistics

作者：

Highlights：

• BGGD modeling of luminanace and disparity coefficients of stereoscopic image.

• Distortion quantification effectively done by proposed approach.

• Proposed a stereoscopic NRIQA based on BGGD model, dubbed as (StereoQUE).

• Competitive performance on several databases.

• State-of-the-art performance on asymmetrically distorted stereo pairs.

摘要

Highlights•BGGD modeling of luminanace and disparity coefficients of stereoscopic image.•Distortion quantification effectively done by proposed approach.•Proposed a stereoscopic NRIQA based on BGGD model, dubbed as (StereoQUE).•Competitive performance on several databases.•State-of-the-art performance on asymmetrically distorted stereo pairs.

论文关键词：Natural scene statistics,Stereoscopic images,No-reference image quality assessment

论文评审过程：Received 11 April 2015, Revised 2 February 2016, Accepted 2 February 2016, Available online 11 February 2016, Version of Record 23 February 2016.

论文官网地址：https://doi.org/10.1016/j.image.2016.02.001