Multispectral image denoising using sparse and graph Laplacian Tucker decomposition

• 作 者: Xiaoce Wu Bingyin Zhou Qingyun Ren Wei Guo
• 机 构: Key Laboratory of Augmented Reality, School of Mathematical Science, Hebei Normal University, Shijia
• 出 处: Computational Visual Media
• 发表日期: 2020年03期
• 关键词: denoising tensor decomposition sparsity graph Laplacian multispectral image

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