| Autor: |
Chao Ji, Jinshou Tian, Liang Sheng, Kai He, Liwei Xin, Xin Yan, Yanhua Xue, Minrui Zhang, Ping Chen, Xing Wang |
| Jazyk: |
angličtina |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
AIP Advances, Vol 10, Iss 11, Pp 115207-115207-8 (2020) |
| Druh dokumentu: |
article |
| ISSN: |
2158-3226 |
| DOI: |
10.1063/5.0022860 |
| Popis: |
This paper studies the sparsity prior to compressed video reconstruction algorithms. An effective non-convex 3DTPV regularization (0 < p < 1) is proposed for sparsity promotion. Based on the augmented Lagrangian reconstruction algorithm, this paper analyzes and compares three non-convex proximity operators for the ℓp-norm function, and numerous simulation results confirmed that the 3DTPV regularization can gain higher video reconstruction quality than the existing convex regularization and is more competitive than the existing video reconstruction algorithms. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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