An underwater-imaging-model-inspired no-reference quality metric for images in multi-colored environments
作者：
Highlights：
• The proposed metric is applied to multi-colored underwater environments.
• The metric obtains a higher correlation between the predictions and true quality.
• The calculation of true quality scores is based on the measured turbidity.
• The proposed metric has the characteristics of strong generalization ability.
• The proposed metric performs well in real-time image processing.
摘要
•The proposed metric is applied to multi-colored underwater environments.•The metric obtains a higher correlation between the predictions and true quality.•The calculation of true quality scores is based on the measured turbidity.•The proposed metric has the characteristics of strong generalization ability.•The proposed metric performs well in real-time image processing.
论文关键词：No-reference quality metric,Underwater images,Multi-colored environments,Real-time image processing
论文评审过程：Received 21 February 2021, Revised 22 September 2021, Accepted 30 November 2021, Available online 10 December 2021, Version of Record 15 December 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2021.116361
