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.
Original language | English |
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Article number | 153 |
Pages (from-to) | 1-26 |
Journal | Journal of Imaging |
Volume | 7 |
Issue number | 8 |
DOIs | |
Publication status | Published - 19 Aug 2021 |
Bibliographical note
Funding Information:Funding: The first author acknowledges the China Scholarship Council (grant number 201806320354) for financial support.
Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Keywords
- B-splines
- Image compression
- Medial descriptors
- Super-resolution