Abstract
We propose a novel algorithm for converting quantized raster color images to resolution-independent scalable vector graphics (SVG). Starting from the discontinuity set of the input image, the algorithm connects the pieces of curves separating two constant regions to reconstruct the apparent contours of objects and interpret T-junctions and saddle points. This structure is depixelized by curve affine shortening, which requires maintaining the topology of the discontinuity set during filtering. The resulting Hierarchical Curve-based Vectorization (HCV) algorithm compares favorably to several state-of-art vectorization algorithms and software for color-quantized photos and pixel art.
| Original language | English |
|---|---|
| Title of host publication | 2022 IEEE International Conference on Image Processing, ICIP 2022, Proceedings |
| Publisher | IEEE |
| Pages | 816-820 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781665496209 |
| ISBN (Print) | 9781665496216 |
| DOIs | |
| Publication status | Published - 2022 |
| Externally published | Yes |
| Event | 29th IEEE International Conference on Image Processing, ICIP 2022 - Bordeaux, France Duration: 16 Oct 2022 → 19 Oct 2022 |
Publication series
| Name | Proceedings - International Conference on Image Processing, ICIP |
|---|---|
| ISSN (Print) | 1522-4880 |
Conference
| Conference | 29th IEEE International Conference on Image Processing, ICIP 2022 |
|---|---|
| Country/Territory | France |
| City | Bordeaux |
| Period | 16/10/22 → 19/10/22 |
Bibliographical note
Publisher Copyright:© 2022 IEEE.
Funding
Research is supported in part by the Postdoctoral International Exchange Program hosted 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 scale-space
- Bézier curve
- Color image
- Vectorization