Mixed noise removal in hyperspectral images using low-rank tensor decomposition with spatial-spectral weighted sparsity regularization

This paper addresses the problem of hyperspectral image (HSI) restoration under mixed noise, specifically Gaussian and impulse noise, by proposing a novel method based on low-rank tensor decomposition. While existing low-rank approaches often adopt fixed regularization schemes, they may fail to capt...

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Detalles Bibliográficos

Autores principales:	Hanh T. M. Tran, Tung Thanh Huynh, Thanh Van Vu, Tran Dang Khoa Phan
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	The University of Danang 2025-09-01
Colección:	Tạp chí Khoa học và Công nghệ
Materias:	hyperspectral image restoration low-rank tensor decomposition group sparsity mixed noise
Acceso en línea:	https://jst-ud.vn/jst-ud/article/view/10187
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