Image quality assessment based on multi-feature extraction and synthesis with support vector regression

作者：

Highlights：

• A full reference image quality assessment method is proposed.

• Multiple features that human visual system is interested in are captured.

• Feature synthesis are operated with the help of support vector machine.

• The method shows good and consistent performance comparatively.

摘要

•A full reference image quality assessment method is proposed.•Multiple features that human visual system is interested in are captured.•Feature synthesis are operated with the help of support vector machine.•The method shows good and consistent performance comparatively.

论文关键词：Image quality assessment,Full reference,Feature extraction,Sobel operator,Log Gabor filter,Local pattern analysis

论文评审过程：Received 1 November 2016, Revised 2 March 2017, Accepted 2 March 2017, Available online 6 March 2017, Version of Record 5 April 2017.

论文官网地址：https://doi.org/10.1016/j.image.2017.03.001