Vectorizing Images of Any Size

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3 Citations (Scopus)

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 languageEnglish
Title of host publication2022 IEEE International Conference on Image Processing, ICIP 2022, Proceedings
PublisherIEEE
Pages816-820
Number of pages5
ISBN (Electronic)9781665496209
ISBN (Print)9781665496216
DOIs
Publication statusPublished - 2022
Externally publishedYes
Event29th IEEE International Conference on Image Processing, ICIP 2022 - Bordeaux, France
Duration: 16 Oct 202219 Oct 2022

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Conference

Conference29th IEEE International Conference on Image Processing, ICIP 2022
Country/TerritoryFrance
CityBordeaux
Period16/10/2219/10/22

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

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