Weighted Total Variation for Hyperspectral Image Denoising Based on Hyper-Laplacian Scale Mixture Distribution

Conventional total variation (TV) regularization methods based on Laplacian or fixed-scale Hyper-Laplacian priors impose uniform sparsity penalties on gradients. These uniform penalties fail to capture the heterogeneous sparsity characteristics across different regions and directions, often leading...

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Detalhes bibliográficos

Principais autores:	Xiaoyu Yu, Jianli Zhao, Sheng Fang, Tianheng Zhang, Liang Li, Xinyue Huang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-12-01
coleção:	Remote Sensing
Assuntos:	hyperspectral image (HSI) denoising Hyper-Laplacian Scale Mixture (HLSM) total variation (TV) tensor completion
Acesso em linha:	https://www.mdpi.com/2072-4292/18/1/135
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