光学精密工程2026，Vol.34Issue(7)：1170-1188,19.DOI:10.37188/OPE.20263407.1170
双尺度画面细节信息引导的全参考图像质量客观评价
Dual-scale tableau detail information-guided full-reference objective assessment on image quality
摘要
Abstract
In industrial vision systems,full-reference image quality assessment(FR-IQA)has emerged as a major research focus.To address this problem,a novel FR-IQA model,termed a dual-scale tableau de-tail-guided model,is proposed.First,the test image is transformed into a specific color space to decouple luminance and chrominance channels.Subsequently,a luminance gradient similarity component is con-structed based on gradient interactions among the reference image,the distorted image,and their fused representation.This component is further integrated with a chrominance orientation consistency analysis to derive a color similarity measure.Meanwhile,a dual-scale tableau detail accumulation component is devel-oped by fusing spectral residual,edge,and adaptive contrast features of the luminance channel,enabling effective characterization of cumulative detail information.Finally,the standard deviation features of these components are weighted and aggregated through feature coefficients to produce the overall quality score.The reliability of the proposed model is validated on the LIVE,CSIQ,TID2008,TID2013,and KA-DID-10K databases using four evaluation metrics:Spearman rank-order correlation coefficient(SROCC),Pearson linear correlation coefficient(PLCC),Kendall rank-order correlation coefficient(KROCC),and root mean square error(RMSE).Experimental results indicate that the PLCC ranges from 0.876 8 on KADID-10K to 0.967 8 on LIVE,while the SROCC varies from 0.864 8 on TID2013 to 0.961 0 on CSIQ.The proposed model demonstrates superior computational efficiency compared with state-of-the-art and deep learning-based FR-IQA methods,while maintaining robust and generalizable predictive perfor-mance.关键词
图像质量评价/全参考/双尺度/画面细节信息Key words
image quality assessment/full reference/dual-scale/tableau detail information分类
信息技术与安全科学引用本文复制引用
史晨阳,吴俊杰,袁瀚成,吴路路..双尺度画面细节信息引导的全参考图像质量客观评价[J].光学精密工程,2026,34(7):1170-1188,19.基金项目
国家自然科学基金资助项目(No.52005003) （No.52005003）
安徽省教育厅重点项目(No.2022AH050983) （No.2022AH050983）
安徽省车载显示集成系统工程研究中心开放基金项目(No.VDIS2023C01) （No.VDIS2023C01）
智能汽车线控底盘系统安徽省重点实验室开放课题基金项目(No.QCKJJ202508) （No.QCKJJ202508）
安徽工程大学引进人才科研启动基金项目(No.2021YQQ027) （No.2021YQQ027）
安徽省先进检测与智能感知重点实验室开放课题基金项目(No.JCKJ2025B09) （No.JCKJ2025B09）
