Statistical based vectorization for standard vector graphics

  • Authors:

  • Sebastiano Battiato;Giovanni Maria Farinella;Giovanni Puglisi

  • Affiliations:

  • Dipartimento di Matematica e Informatica, Image Processing Laboratory, University of Catania, Italy;Dipartimento di Matematica e Informatica, Image Processing Laboratory, University of Catania, Italy;Dipartimento di Matematica e Informatica, Image Processing Laboratory, University of Catania, Italy

  • Venue:
  • ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part II
  • Year:
  • 2006

  • Statistical Region Merging

    IEEE Transactions on Pattern Analysis and Machine Intelligence

  • SVG Rendering for Internet Imaging

    CAMP '05 Proceedings of the Seventh International Workshop on Computer Architecture for Machine Perception

  • Big Little Icons

    CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops - Volume 03

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this paper a novel algorithm for raster to vector conversion is presented. The technique is mainly devoted to vectorize digital picture maintaining an high degree of photorealistic appearance specifically addressed to the human visual system. The algorithm makes use of an advanced segmentation strategy based on statistical region analysis together with a few ad-hoc heuristics devoted to track boundaries of segmented regions. The final output is rendered by Standard Vector Graphics. Experimental results confirm the effectiveness of the proposed approach both in terms of perceived and measured quality. Moreover, the final overall size of the vectorized images outperforms existing methods.