No-reference image quality assessment based on neighborhood co-occurrence matrix

作者：

Highlights：

• The significant of spatial correlation of pixels for quality evaluation is analyzed.

• The neighborhood co-occurrence matrix and three metrics are introduced for NR-IQA.

• The new approach performs better on distortions associated with color or locality.

摘要

•The significant of spatial correlation of pixels for quality evaluation is analyzed.•The neighborhood co-occurrence matrix and three metrics are introduced for NR-IQA.•The new approach performs better on distortions associated with color or locality.

论文关键词：No-reference image quality assessment,Neighborhood co-occurrence matrix,Spatial correlation of pixels,Natural scene statistics

论文评审过程：Received 27 January 2019, Revised 31 July 2019, Accepted 29 October 2019, Available online 9 November 2019, Version of Record 20 November 2019.

论文官网地址：https://doi.org/10.1016/j.image.2019.115680