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Research on the denoising algorithm for hyperspectral images based on tensor decomposition and full variational constraints

Jan 31, 2024

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Applied Mathematics and Nonlinear Sciences

Volume 9 (2024): Issue 1 (January 2024)

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Published Online: Jan 31, 2024

Received: Dec 18, 2023

Accepted: Dec 27, 2023

DOI: https://doi.org/10.2478/amns-2024-0172

Keywords
Low tensor decomposition, Full variational model, Hyperspectral image denoising, Generalized Lagrangian method

© 2024 Chushen Chen, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Chen, Chushen

School of Mathematics and Physics, Guangxi Minzu UniversityNanning, China

Language:: English

Publication timeframe:: 1 times per year
Journal Subjects:: Life Sciences, Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics, Physics, other

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