| 基于Contourlet视觉模型和奇异值分解的图像质量评价 |
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| 引用本文： | 陈荣元.基于Contourlet视觉模型和奇异值分解的图像质量评价[J].光电子．激光,2010(10):1560-1564. |
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| 作者姓名： | 陈荣元 |
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| 作者单位： | 湖南商学院信息学院;湖南商学院管理工程研究所;武汉大学电子信息学院; |
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| 基金项目： | 国家“973”重点基础研究发展计划资助项目(2006CB701303); 湖北省自然科学基金重点资助项目(2009CDA141); 湖南省教育厅资助科研项目(08C485,09C567); 长沙市软科学资助项目(K0802190-41); 应用型本科院校“十一五”国家资助项目(FIB070335-A8-17) |
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| 摘 要： | 针对基于像素值的图像质量评价方法忽视图像结构信息和需要完全参考图像等问题,提出了一种基于Contourlet域奇异值分解CW-SVD,部分参考图像质量评价方法(contourlet weighted singular value decomposition)。在Contourlet域中,利用奇异值向量对图像结构的表征能力,结合人眼视觉敏感性确定每个子带的视觉权重,得到每个子带的评价测度,再综合得出图像的最终评价指标。实验表明,该方法应用于4种类型的降质图像质量评价时,比峰值信噪比(PSNR、MSSIM)等算法具有更好的稳定性和更好的主客观评价一致性。
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| 关 键 词： | 图像质量评价 Contourlet变换 对比度敏感函数(CSF) 奇异值分解(SVD) 主客观一致性 |
Image quality assessment based on human visual model and singular value decomposition in Contourlet domain |
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| CHEN Rong-yuan.Image quality assessment based on human visual model and singular value decomposition in Contourlet domain[J].Journal of Optoelectronics·laser,2010(10):1560-1564. |
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| Authors: | CHEN Rong-yuan |
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| Affiliation: | CHEN Rong-yuan1,2,3,ZHANG Fei-yan3,SHI Liang-wu1,QIN Qian-qing3 (1.Information Department,Hunan University of Commerce,Changsha 410205,China,2.Management Engineering Institute,3.School of Electronic Information,Wuhan University,Wuhan 430079,China) |
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| Abstract: | Due to the limitations of traditional image quality assessment methods including lacking the image structure information and needing a complete reference image,a new image quality assessment method based on Contourlet weighted singular value decomposition(CW-SVD) with partial reference image is presented in this paper.In Contourlet domain,the human visual sensibility(HVS) is considered to determine the weight of each subband by the image characterization from singular value vector.Finally,an image quality m... |
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| Keywords: | image quality assessment Contourlet transformation contrast sensitivity function(CSF) singular value decomposition(SVD) consistency between subjective and objective evaluations |
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