Tensor non-local low-rank regularization for recovering compressed hyperspectral images

Sparsity-based methods have been widely used in hyperspectral imagery compression recovery (HSI-CR). 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 in...

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Veröffentlicht in:	2017 IEEE International Conference on Image Processing (ICIP) S. 3046 - 3050
Hauptverfasser:	Zhao, Yongqiang, Xue, Jize, Hao, Jinglei
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.09.2017
Schlagworte:	alternative direction multiplier method compression recovery Correlation Hyperspectral image Hyperspectral imaging Image coding Image reconstruction Matrix decomposition non-local self-similarity structured sparsity Tensile stress tensor low-rank approximation Three-dimensional displays
ISSN:	2381-8549
Online-Zugang:	Volltext
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