• Frontiers of Optoelectronics
  • Vol. 11, Issue 3, 267 (2018)
Wenshu MA, Qi LI*, Jianye LU, and Liyu SUN
Author Affiliations
  • National Key Laboratory of Science and Technology on Tunable Laser, Harbin Institute of Technology, Harbin 150080, China
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    DOI: 10.1007/s12200-018-0829-6 Cite this Article
    Wenshu MA, Qi LI, Jianye LU, Liyu SUN. De-noising research on terahertz holographic reconstructed image based on weighted nuclear norm minimization method[J]. Frontiers of Optoelectronics, 2018, 11(3): 267 Copy Citation Text show less
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    [4] Cui S S, Li Q. A comparison of filtering techniques on denoising terahertz coaxial digital holography image. SPIE, 2016, 10157: 101571R1–101571R5

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    [9] Gu S H, Zhang L,Zuo W M,Feng X C. Weighted nuclear norm minimization with application to image denoising. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Columbus, OH, USA: IEEE, 2014, 2862–2869

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    [12] Buades A, Bartomeu C A, Morel J M. A non-local algorithm for image denoising. In: Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR). San Diego, CA, USA: IEEE, 2005, 61–65

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    [15] Image and video denoising by sparse 3D transform-domain collaborative filtering, http://www.cs.tut.fi/~foi/GCF-BM3D;GitHub, https://github.com/glemaitre/BM3D

    Wenshu MA, Qi LI, Jianye LU, Liyu SUN. De-noising research on terahertz holographic reconstructed image based on weighted nuclear norm minimization method[J]. Frontiers of Optoelectronics, 2018, 11(3): 267
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