Contour Stencils for Edge-Adaptive Image Interpolation

Reference

Pascal Getreuer, “Contour stencils for edge-adaptive image interpolation.” Proceedings of SPIE, vol. 7257, 2009. DOI: 10.1117/12.806014.

Article permalink: http://dx.doi.org/10.1117/12.806014

@inproceedings{getreuer2009contour,

    title = {Contour Stencils for Edge-Adaptive Image Interpolation},

    author = {Pascal Getreuer},

    booktitle = {Proceedings of {SPIE}},

    volume = {7257},

    year = {2009},

    doi = {10.1117/12.806014}

}

Abstract

We first develop a simple method for detecting the local orientation of image contours and then use this detection to design an edge-adaptive image interpolation strategy. The detection is based on total variation: small total variation along a candidate curve implies that the image is approximately constant along that curve, which suggests it is a good approximation to the contours. The proposed strategy is to measure the total variation over a “contour stencil,” a set of parallel curves localized over a small patch in the image. This contour stencil detection is used to design an edge-adaptive image interpolation strategy. The interpolation is computationally efficient, operates robustly over a variety of image features, and performs competitively in a comparison against existing methods. The method extends readily to vector-valued data and is demonstrated for color image interpolation. Other applications of contour stencils are also discussed.

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