A stereoscopic image quality assessment model based on independent component analysis and binocular fusion property

作者：

Highlights：

• A Stereoscopic image quality assessment model based on independent component analysis and binocular fusion property is proposed.

• Independent component analysis is used to simulate the functions of the receptive fields of simple cells.

• Binocular fusion property is considered to model the functions of the receptive fields of complex cells in the primary visual cortex.

• Stereoscopic image quality is measured by both structure and luminance distortions.

摘要

Highlights•A Stereoscopic image quality assessment model based on independent component analysis and binocular fusion property is proposed.•Independent component analysis is used to simulate the functions of the receptive fields of simple cells.•Binocular fusion property is considered to model the functions of the receptive fields of complex cells in the primary visual cortex.•Stereoscopic image quality is measured by both structure and luminance distortions.

论文关键词：Stereoscopic quality assessment,Independent component analysis,Image feature similarity,Local luminance consistency,Binocular combination

论文评审过程：Received 11 May 2016, Revised 19 December 2016, Accepted 19 December 2016, Available online 28 December 2016, Version of Record 4 January 2017.

论文官网地址：https://doi.org/10.1016/j.image.2016.12.004