Search Results - Spectral methods vectorization algorithms domain decomposition

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

“…). 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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Iterative Preconditioned Methods in Krylov Spaces: Trends of the 21st Century by Il’in, V. P.

“…A analytic review of major problems and new mathematical and technological discoveries in methods for solving SLAEs is given…”
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Tensor non-local low-rank regularization for recovering compressed hyperspectral images by Zhao, Yongqiang, Xue, Jize, Hao, Jinglei

“…). 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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