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Proceedings Paper

Image zooming with contour stencils
Author(s): Pascal Getreuer
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Paper Abstract

We introduce "contour stencils" as a simple method for detecting the local orientation of image contours and apply this detection to image zooming. Our approach is motivated by the total variation along curves: small total variation along a candidate curve suggests that this curve is a good approximation to the contours. Furthermore, a relationship is shown between interpolation error and total variation. The contour stencil detection is used to develop two image zooming methods. The first one, "contour stencil interpolation," is simple and computationally efficient, yet competitive in a comparison against existing methods. The second method approaches zooming as an inverse problem, using a graph regularization where the graph is determined by contour stencil detection. Both methods extend naturally to vector-valued data and are demonstrated for grayscale and color images.

Paper Details

Date Published: 2 February 2009
PDF: 12 pages
Proc. SPIE 7246, Computational Imaging VII, 72460P (2 February 2009); doi: 10.1117/12.805934
Show Author Affiliations
Pascal Getreuer, Univ. of California, Los Angeles (United States)

Published in SPIE Proceedings Vol. 7246:
Computational Imaging VII
Charles A. Bouman; Eric L. Miller; Ilya Pollak, Editor(s)

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