A low complexity wavelet-based blind image quality evaluator

作者：

Highlights：

• Analyzing the statistical relation between image details at different granularities.

• Sub-bands of wavelet at different scales represent coarse and fine details.

• Low complexity method which provides competitive quality performance.

• Effectiveness and efficiency are achieved simultaneously.

摘要

•Analyzing the statistical relation between image details at different granularities.•Sub-bands of wavelet at different scales represent coarse and fine details.•Low complexity method which provides competitive quality performance.•Effectiveness and efficiency are achieved simultaneously.

论文关键词：Human visual system,Image quality assessment,Wavelet,NR-IQA,BIQA

论文评审过程：Received 1 June 2018, Revised 26 November 2018, Accepted 26 December 2018, Available online 25 January 2019, Version of Record 15 March 2019.

论文官网地址：https://doi.org/10.1016/j.image.2018.12.016