most citedHyperspectral Image Restoration via Total Variation Regularized Low-rank Tensor Decomposition

11 citations · 11 across the 1 of their papers we have counts for

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cs.CV2018

Enhanced 3DTV Regularization and Its Applications on Hyper-spectral Image Denoising and Compressed Sensing

Jiangjun Peng, Qi Xie, Qian Zhao +3

The 3-D total variation (3DTV) is a powerful regularization term, which encodes the local smoothness prior structure underlying a hyper-spectral image (HSI), for general HSI proces…

cs.CV2017★ 11 cited

Hyperspectral Image Restoration via Total Variation Regularized Low-rank Tensor Decomposition

Yao Wang, Jiangjun Peng, Qian Zhao +3

Hyperspectral images (HSIs) are often corrupted by a mixture of several types of noise during the acquisition process, e.g., Gaussian noise, impulse noise, dead lines, stripes, and…