| Title | Noise removal using an adaptive Euler's elastica-based model |
| Author | |
| Corresponding Author | Wang, Chao |
| Publication Years | 2022-10-01
|
| DOI | |
| Source Title | |
| ISSN | 0178-2789
|
| EISSN | 1432-2315
|
| Abstract | We consider the Euler's elastica-based model for an image noise removal problem. Several recent works have demonstrated that Euler's elastica-based model performs better than the celebrated total variation model on preserving image features in smooth regions during denoising. On the other hand, an adaptive weighting scheme on total variation is a technique for well-restoring local features of an image. Inspired by these two strategies, we propose an adaptive Euler's elastica-based model to handle both local features of image and image features in smooth regions simultaneously. Numerically, we apply the alternating direction method of multipliers to solve this non-smooth and non-convex model. Experimental results on both natural and synthetic images illustrate the efficiency of the proposed method. |
| Keywords | |
| URL | [Source Record] |
| Indexed By | |
| Language | English
|
| SUSTech Authorship | Corresponding
|
| Funding Project | Natural Science Foundation of Jiangxi Province[20192BAB211005]
; Science Foundation for Post Doctorate of China[2020M672484]
; HKRGC[CityU11301120]
; NNSF of China[61865012]
|
| WOS Research Area | Computer Science
|
| WOS Subject | Computer Science, Software Engineering
|
| WOS Accession No | WOS:000864059700001
|
| Publisher | |
| ESI Research Field | COMPUTER SCIENCE
|
| Data Source | Web of Science
|
| Citation statistics |
Cited Times [WOS]:0
|
| Document Type | Journal Article |
| Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/405977 |
| Department | Department of Statistics and Data Science |
| Affiliation | 1.Nanchang Inst Technol, Coll Sci, Nanchang 330099, Jiangxi, Peoples R China 2.Nanchang Inst Technol, Jiangxi Prov Key Lab Water Informat Cooperat Sens, Nanchang 330099, Jiangxi, Peoples R China 3.Southern Univ Sci & Technol, Dept Stat & Data Sci, Shenzhen 518055, Guangdong, Peoples R China |
| Corresponding Author Affilication | Department of Statistics and Data Science |
| Recommended Citation GB/T 7714 |
Yang, Junci,Ma, Mingxi,Zhang, Jun,et al. Noise removal using an adaptive Euler's elastica-based model[J]. VISUAL COMPUTER,2022.
|
| APA |
Yang, Junci,Ma, Mingxi,Zhang, Jun,&Wang, Chao.(2022).Noise removal using an adaptive Euler's elastica-based model.VISUAL COMPUTER.
|
| MLA |
Yang, Junci,et al."Noise removal using an adaptive Euler's elastica-based model".VISUAL COMPUTER (2022).
|
| Files in This Item: | There are no files associated with this item. | |||||
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