电子学报2016，Vol.44Issue(4)：804-812,9.DOI:10.3969/j.issn.0372-2112.2016.04.008
结合结构信息和亮度统计的无参考图像质量评价
No-Reference Image Quality Assessment Based on Structure Information and Lu minance Statistics
摘要
Abstract
Based on the correlation between subband coefficients of nonsubsampled contourlet transform(NSCT),a general-purpose no-reference image quality assessment(NR-IQA)method is proposed.Firstly,the correlation between NSCT subband coefficients was analyzed using mutual information and the subband coefficients with strong correlation were deter-mined.Secondly,the structure comparison operator of those subband coefficients were calculated respectively and used to de-scribe the statistics characteristic of image structure information.Moreover,a no-reference image quality assessment model and an image distortion type recognition model were constructed by combining the statistical features of the mean subtracted contrast normalized(MSCN)coefficients and the structural similarity of NSCT coefficients.Finally,a large number of simu-lation experiments were carried out in the LIVE image quality evaluation database.The simulation results show that this method is suitable for many common image distortion types and correlates well with the human judgments of image quality, and the assessment model is competitive with the nowadays’mainstream evaluation method.关键词
无参考图像质量评价/非下采样Contourlet变换/结构相似度/亮度统计Key words
no-reference image quality assessment/nonsubsampled contourlet transform/structural similarity/lumi-nance statistics分类
信息技术与安全科学引用本文复制引用
沈军民,李俊峰,戴文战..结合结构信息和亮度统计的无参考图像质量评价[J].电子学报,2016,44(4):804-812,9.基金项目
国家自然科学基金（No．61374022）；浙江省公益性技术应用研究计划 （）
