Name
Abstract | ||
|---|---|---|
Medial descriptors are of significant interest for image simplification, representation, manipulation, and compression. On the other hand, B-splines are well-known tools for specifying smooth curves in computer graphics and geometric design. In this paper, we integrate the two by modeling medial descriptors with stable and accurate B-splines for image compression. Representing medial descriptors with B-splines can not only greatly improve compression but is also an effective vector representation of raster images. A comprehensive evaluation shows that our Spline-based Dense Medial Descriptors (SDMD) method achieves much higher compression ratios at similar or even better quality to the well-known JPEG technique. We illustrate our approach with applications in generating super-resolution images and salient feature preserving image compression. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.3390/jimaging7080153 | JOURNAL OF IMAGING |
Keywords | DocType | Volume |
medial descriptors, image compression, B-splines, super-resolution | Journal | 7 |
Issue | ISSN | Citations |
8 | 2313-433X | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jieying Wang | 1 | 0 | 1.35 |
| Jiří Kosinka | 2 | 0 | 0.34 |
| Alexandru Telea | 3 | 0 | 0.68 |