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                    "codemeta:author": {
                        "codemeta:affiliation": "CMLA ENS Cachan, France",
                        "codemeta:name": "Pascal Getreuer"
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                    "codemeta:dateCreated": "2010-01-01",
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                    "codemeta:description": "Implementation of an algorithm for image interpolation based on geometric contour stencils",
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                        "codemeta:name": "Image Processing On Line (IPOL)",
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                    "codemeta:keywords": [
                        "image interpolation",
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                        "total variation"
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                        "codemeta:abstract": "This article improves upon the IPOL article Image Interpolation with Contour Stencils. In the previous work, contour stencils are used to estimate the image contours locally as short line segments. This article begins with a continuous formulation of total variation integrated over a collection of curves and defines contour stencils as a consistent discretization. This discretization is more reliable than the previous approach and can effectively distinguish contours that are locally shaped like lines, curves, corners, and circles. These improved contour stencils sense more of the geometry in the image. Interpolation is performed using an extension of the method described in the previous article. Using the improved contour stencils, there is an increase in image quality while maintaining similar computational efficiency.",
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                        "codemeta:name": "Image Interpolation with Geometric Contour Stencils",
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                    "codemeta:releaseNotes": "In this revision of \"Image Interpolation with Contour Stencils\" an improved discretization of contour stencils distinguishes more kinds of geometric features, including curves and corners.",
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