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Full-reference image quality assessment based on texture singular value decomposition
Information Sciences | 更新时间：2025-03-07
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    • Full-reference image quality assessment based on texture singular value decomposition

    • “In the field of industrial vision systems, a singular value decomposition full reference image quality evaluation model based on texture information weighting has been proposed, which effectively improves the evaluation accuracy and generalization.”
    • Optics and Precision Engineering   Vol. 33, Issue 1, Pages: 107-122(2025)

    • DOI：10.37188/OPE.20253301.0107    

      CLC： TP394.1;TH691.9
    • CSTR：32169.14.OPE.20253301.0107    

    • Received：13 August 2024，

      Revised：21 October 2024，

      Published：10 January 2025

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  • LI Jiaxin,DUAN Fajie,FU Xiao,et al.Full-reference image quality assessment based on texture singular value decomposition[J].Optics and Precision Engineering,2025,33(01):107-122. DOI： 10.37188/OPE.20253301.0107. CSTR： 32169.14.OPE.20253301.0107.

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NIU Guangyue
FU Xiao
DUAN Fajie
LI Jiaxxin
Li-xia GAO
Li-qi CHEN
Guo-jun LIU
TONG Yixin

Related Institution

State Key Laboratory of Precision Measuring Technology &amp； Instruments， Tianjin University
School of Mathematics and Statistics, Ningxia University
College of Electronic and Optical Engineering & College of Flexible Electronics （Future Technology），Nanjing University of Posts and Telecommunications
School of Artificial Intelligence， Anhui Polytechnic University
Key Laboratory for Micro/Nano Technology and System of Liaoning Province， Key Laboratory for Precision ＆ Non-traditional Machining Technology，Ministry of Education， Dalian University of Technology
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