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Hyperspectral Mixed Noise Removal via Subspace Representation and Weighted Low-rank Tensor Regularization
Recently, the low-rank property of different components extracted from the image has been considered in man hyperspectral image denoising methods.
Multi-band Weighted $l_p$ Norm Minimization for Image Denoising
Low rank matrix approximation (LRMA) has drawn increasing attention in recent years, due to its wide range of applications in computer vision and machine learning.
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