Multispectral image denoising using sparse and graph Laplacian Tucker decomposition

Abstract Multispectral image denoising is a basic problem whose results affect subsequent processes such as target detection and classification. Numerous approaches have been proposed, but there are still many challenges, particularly in using prior knowledge of multispectral images, which is crucia...

Full description

Bibliographic Details
Main Authors: Xiaoce Wu, Bingyin Zhou, Qingyun Ren, Wei Guo
Format: Article
Language:English
Published: SpringerOpen 2020-07-01
Series:Computational Visual Media
Subjects:
Online Access:https://doi.org/10.1007/s41095-020-0176-6