Tensor completion via joint reweighted tensor Q-nuclear norm for visual data recovery-Reference-Cited by-同舟云学术

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Tensor completion via joint reweighted tensor Q-nuclear norm for visual data recovery

Published:2024-06 Issue: Volume:219 Page:109407
ISSN:0165-1684
Container-title:Signal Processing
language:en
Short-container-title:Signal Processing

Author:

Cheng Xiaoyang,Kong Weichao,Luo Xin,Qin Wenjin,Zhang Feng^ORCID,Wang Jianjun^ORCID

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Natural Science Foundation of Chongqing Municipality

National Key Research and Development Program of China

Publisher

Elsevier BV

Reference72 articles.

1. Tensor completion for estimating missing values in visual data;Liu;IEEE Trans. Pattern Anal. Mach. Intell.,2012

2. Low-rank tensor completion based on nonconvex regularization;Su;Signal Process.,2023

3. Fast cross tensor approximation for image and video completion;Ahmadi-Asl;Signal Process.,2023

4. Mixed noise removal in hyperspectral image via Low-Fibered Rank regularization;Zheng;IEEE Trans. Geosci. Remote Sens.,2020

5. Hyperspectral image restoration under complex multi-band noises;Yue;Remote Sens.,2018

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