Nuclear Norm Minus Frobenius Norm Minimization with Rank Residual Constraint for Image Denoising-Reference-Cited by-同舟云学术

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Nuclear Norm Minus Frobenius Norm Minimization with Rank Residual Constraint for Image Denoising

Published:2024-08-01 Issue:8 Volume:E107.D Page:992-1006
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

HUANG Hua¹,SHAN Yiwen²,LI Chuan³,WANG Zhi³

Affiliation:

1. Information Construction and Management Center, Chongqing Vocational Institute of Engineering

2. College of Computer and Information Science, Southwest University

3. Big Data and Intelligence Engineering School, Chongqing College of International Business and Economics

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Link

https://www.jstage.jst.go.jp/article/transinf/E107.D/8/E107.D_2023EDP7265/_pdf

Reference50 articles.

1. [1] Z. Liu, D. Hu, Z. Wang, J. Gou, and T. Jia, “LatLRR for subspace clustering via reweighted Frobenius norm minimization,” Expert Syst. Appl., vol.224, Art. no.119977, Aug. 2023. 10.1016/j.eswa.2023.119977

2. [2] Y. Chang, L. Yan, T. Wu, and S. Zhong, “Remote sensing image stripe noise removal: From image decomposition perspective,” IEEE Trans. Geosci. Remote Sens., vol.54, no.12, pp.7018-7031, 2016. 10.1109/tgrs.2016.2594080

3. [3] G. Bi, G. Si, Y. Zhao, B. Qi, and H. Lv, “Haze removal for a single remote sensing image using low-rank and sparse prior,” IEEE Trans. Geosci. Remote Sensing, vol.60, pp.1-13, Dec. 2022. 10.1109/tgrs.2021.3135975

4. [4] X. Ding, C. Shen, T. Zeng, and Y. Peng, “SAB Net: A semantic attention boosting framework for semantic segmentation,” IEEE Trans. Neural Netw. Learn. Syst., pp.1-13, 2022. 10.1109/tnnls.2022.3144003

5. [5] P.-H. Hsiao, F.-J. Chang, and Y.-Y. Lin, “Learning discriminatively reconstructed source data for object recognition with few examples,” IEEE Trans. Image Process., vol.25, no.8, pp.3518-3532, 2016. 10.1109/tip.2016.2572602

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