Abstract
We propose a novel variational image vectorization algorithm (VIVA) which alternatively smooths contours by affine shortening flow and eliminates spurious regions by minimizing a Mumford-Shah-type functional. We introduce dual-primal graphs representing domain partitions which allows for effective iterative computation. The method provides varying levels of simplicity on the topology of the resulted vector graphics while effectively removing pixelization. It compares favorably to the state-of-the-art (SOTA) vectorization methods.
| Original language | English |
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| Title of host publication | 2023 IEEE International Conference on Image Processing, ICIP 2023, Proceedings |
| Publisher | IEEE |
| Pages | 1285-1289 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781728198354 |
| ISBN (Print) | 9781728198361 |
| DOIs | |
| Publication status | Published - 2023 |
| Externally published | Yes |
| Event | 2023 IEEE International Conference on Image Processing - Kuala Lumpur, Malaysia Duration: 8 Oct 2023 → 11 Oct 2023 |
Publication series
| Name | Proceedings - International Conference on Image Processing, ICIP |
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| ISSN (Print) | 1522-4880 |
Conference
| Conference | 2023 IEEE International Conference on Image Processing |
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| Country/Territory | Malaysia |
| City | Kuala Lumpur |
| Period | 8/10/23 → 11/10/23 |
Bibliographical note
Publisher Copyright:© 2023 IEEE.
Funding
∗Research is supported in part by Postdoctoral International Exchange Program by the Office of China Postdoc Council (OCPC) and INS, SJTU †Research is supported in part by Simons Foundation grant 584960. ‡Supported by Fondation Mathématique Jacques Hadamard
Keywords
- affine-shortening flow
- Image vectorization
- Mumford-Shah functional
- optimization