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                    "codemeta:author": [
                        {
                            "codemeta:affiliation": "Univ. Paris Diderot, Laboratoire Jacques-Louis Lions, UMR 7598, UPMC, CNRS, F-75205 Paris, France",
                            "codemeta:name": "Adina Ciomaga"
                        },
                        {
                            "codemeta:affiliation": "LIGM (UMR 8049), Ecole des Ponts, UPE, Champs-sur-Marne, France",
                            "codemeta:name": "Pascal Monasse"
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                        {
                            "codemeta:affiliation": "CMLA, ENS Cachan, France",
                            "codemeta:name": "Jean-Michel Morel"
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                    "codemeta:dateCreated": "2017-06-29",
                    "codemeta:datePublished": "2017-07-28",
                    "codemeta:description": "The Image Curvature Microscope: Accurate Curvature Computation at Subpixel Resolution",
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                        "codemeta:name": "Image Processing On Line (IPOL)",
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                    "codemeta:keywords": [
                        "curvature",
                        "level lines",
                        "image smoothing",
                        "subpixel"
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                        "codemeta:abstract": "We detail in this paper the numerical implementation of the so-called image curvature microscope, an algorithm that computes accurate image curvatures at subpixel resolution, and yields a curvature map conforming with our visual perception. In contrast to standard methods, which would compute the curvature by a finite difference scheme, the curvatures are evaluated directly on the level lines of the bilinearly interpolated image, after their independent smoothing, a step necessary to remove pixelization artifacts. The smoothing step consists in the affine erosion of the level lines through a geometric scheme, and can be applied in parallel to all level lines. The online algorithm allows the user to visualize the image of curvatures at different resolutions, as well as the set of level lines before and after smoothing.",
                        "codemeta:identifier": "https://doi.org/10.5201/ipol.2017.212",
                        "codemeta:name": "The Image Curvature Microscope: Accurate Curvature Computation at Subpixel Resolution",
                        "codemeta:url": "http://www.ipol.im/pub/art/2017/212/article.pdf"
                    },
                    "codemeta:relatedLink": "http://ipolcore.ipol.im/demo/clientApp/demo.html?id=212",
                    "codemeta:releaseNotes": "This code implements the algorithm(s) published in the IPOL paper \"The Image Curvature Microscope: Accurate Curvature Computation at Subpixel Resolution\"",
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