Spline-based dense medial descriptors for lossy image compression

Jieying Wang*, Jiří Kosinka, Alexandru Telea

*Bijbehorende auteur voor dit werk

Onderzoeksoutput: ArticleAcademicpeer review

3 Citaten (Scopus)
20 Downloads (Pure)


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.

Originele taal-2English
Aantal pagina's26
TijdschriftJournal of Imaging
Nummer van het tijdschrift8
StatusPublished - aug.-2021

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