Suchergebnisse - Spectral methods vectorization algorithms domain decomposition

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    FONT-SIR: Fourth-Order Nonlocal Tensor Decomposition Model for Spectral CT Image Reconstruction von Chen, Xiang, Xia, Wenjun, Liu, Yan, Chen, Hu, Zhou, Jiliu, Zha, Zhiyuan, Wen, Bihan, Zhang, Yi

    ISSN: 0278-0062, 1558-254X, 1558-254X
    Veröffentlicht: United States IEEE 01.08.2022
    Veröffentlicht in IEEE transactions on medical imaging (01.08.2022)
    “… ). To maintain the original spatial relationships among similar patches and improve the imaging quality, similar patches without vectorization are grouped in both spectral and spatial domains …”
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    Journal Article
  2. 2

    Iterative Preconditioned Methods in Krylov Spaces: Trends of the 21st Century von Il’in, V. P.

    ISSN: 0965-5425, 1555-6662
    Veröffentlicht: Moscow Pleiades Publishing 01.11.2021
    Veröffentlicht in Computational mathematics and mathematical physics (01.11.2021)
    “… A analytic review of major problems and new mathematical and technological discoveries in methods for solving SLAEs is given …”
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    Journal Article
  3. 3

    Tensor non-local low-rank regularization for recovering compressed hyperspectral images von Zhao, Yongqiang, Xue, Jize, Hao, Jinglei

    ISSN: 2381-8549
    Veröffentlicht: IEEE 01.09.2017
    “… ). However, most of the available HSI-CR methods work on vector space by vectorizing hyperspectral cubes in spatial and spectral domain, which will destroy spatial and spectral correlation and result …”
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