Search Results - "low-rank regularized group sparse coding"

Structural Smoothing Low-Rank Matrix Restoration Based on Sparse Coding and Dual-Weighted Model

Authors: Jiawei Wu Hengyou Wang

Source: Entropy, Vol 24, Iss 7, p 946 (2022)

Subject Terms: group sparse coding, low-rank regularized group sparse coding, TV norm, dual-weighted, image restoration, Science, Astrophysics, QB460-466, Physics, QC1-999

Relation: https://www.mdpi.com/1099-4300/24/7/946; https://doaj.org/toc/1099-4300; https://doaj.org/article/ccc61512f6374a328df7efb754414109

Availability: https://doi.org/10.3390/e24070946
https://doaj.org/article/ccc61512f6374a328df7efb754414109

Structural Smoothing Low-Rank Matrix Restoration Based on Sparse Coding and Dual-Weighted Model.

Authors: Wu, Jiawei Wang, Hengyou

Source: Entropy; Jul2022, Vol. 24 Issue 7, pN.PAG-N.PAG, 17p

Subject Terms: LOW-rank matrices, IMAGE reconstruction, SPARSE approximations, PROBLEM solving, MATHEMATICAL regularization

Image Restoration via Reconciliation of Group Sparsity and Low-Rank Models.

Authors: Zha, Zhiyuan Wen, Bihan Yuan, Xin et al.

Source: IEEE Transactions on Image Processing. 2021, Vol. 30, p5223-5238. 16p.

Subject Terms: *IMAGE denoising, *IMAGE reconstruction, *SPARSE matrices, *INPAINTING

Compressive-sensing recovery of images by context extraction from random samples.

Authors: Li, Ran Dai, Juan Yang, Yihao et al.

Source: Multimedia Tools & Applications; Mar2024, Vol. 83 Issue 9, p26711-26732, 22p

An image inpainting algorithm using exemplar matching and low-rank sparse prior.

Authors: Peng, Qiangwei Huang, Wen

Source: Inverse Problems; Jan2024, Vol. 40 Issue 1, p1-30, 30p

Subject Terms: INPAINTING, OPTIMIZATION algorithms, ALGORITHMS, PIXELS, SPARSE approximations, IMAGE reconstruction

Reconciliation Of Group Sparsity And Low-Rank Models For Image Restoration

Authors: Bihan Wen Xin Yuan Ce Zhu et al.

Source: 2020 IEEE International Conference on Multimedia and Expo (ICME). :1-6

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://ieeexplore.ieee.org/abstract/document/9102930
https://dblp.uni-trier.de/db/conf/icmcs/icme2020.html#ZhaW00Z20