Paper
2 February 2009 Image zooming with contour stencils
Author Affiliations +
Proceedings Volume 7246, Computational Imaging VII; 72460P (2009) https://doi.org/10.1117/12.805934
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States
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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Pascal Getreuer "Image zooming with contour stencils", Proc. SPIE 7246, Computational Imaging VII, 72460P (2 February 2009); https://doi.org/10.1117/12.805934
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Cited by 11 scholarly publications.
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KEYWORDS
Wavelets

Image resolution

Point spread functions

Iterated function systems

Diffusion

Image compression

Error analysis

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