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{ "extrinsic": { "provider": "https://deposit.softwareheritage.org/1/private/664/meta/", "raw": { "origin": { "type": "deposit", "url": "https://doi.org/10.5201/ipol.2020.300" }, "origin_metadata": { "metadata": { "@xmlns": "http://www.w3.org/2005/Atom", "@xmlns:codemeta": "https://doi.org/10.5063/SCHEMA/CODEMETA-2.0", "codemeta:applicationCategory": "Image Processing", "codemeta:author": { "codemeta:affiliation": "Universitat Illes Balears, Spain", "codemeta:name": "Jose-Luis Lisani" }, "codemeta:contributor": [ { "codemeta:name": "Nicolas Limare" }, { "codemeta:name": "Pascal Getreuer" }, { "codemeta:name": "Adina Ciomaga" }, { "codemeta:name": "Marco Mondelli" }, { "codemeta:name": "Sylvain Paris" }, { "codemeta:name": "Fr\u00e9do Durand" } ], "codemeta:dateCreated": "2018-01-01", "codemeta:datePublished": "2020-06-02", "codemeta:description": "Implementation of the LLCC method for image enhancement.", "codemeta:downloadUrl": "https://www.ipol.im/pub/art/2020/300/llcc.tgz", "codemeta:identifier": "https://doi.org/10.5201/ipol.2020.300", "codemeta:isPartOf": { "codemeta:identifier": "ISSN: 2105-1232 DOI: 10.5201/ipol", "codemeta:name": "Image Processing On Line (IPOL)", "codemeta:type": "Journal" }, "codemeta:keywords": [ "image enhancement", "contrast enhancement", "local method", "logarithmic mapping", "adaptive method" ], "codemeta:license": { "codemeta:name": "AGPL-3.0-or-later", "codemeta:url": "https://spdx.org/licenses/AGPL-3.0-or-later.html" }, "codemeta:operatingSystem": "Linux", "codemeta:programmingLanguage": "C++", "codemeta:referencePublication": { "codemeta:abstract": "This article presents an implementation of the local image enhancement technique proposed in [J.L. Lisani, Adaptive local image enhancement based on logarithmic mappings, IEEE International Conference on Image Processing (ICIP), 2018]. The technique is based on a logarithmic mapping function that is adapted to the luminance characteristics of the neighborhood of each pixel. The method permits to simultaneously increase the luminance in dark regions and decrease it in bright regions. Variants of the originally published method are discussed in terms of contrast enhancement and creation of halo artifacts.", "codemeta:identifier": "https://www.ipol.im/pub/art/2020/300/", "codemeta:name": "Local Contrast Enhancement based on Adaptive Logarithmic Mappings", "codemeta:url": "https://doi.org/10.5201/ipol.2020.300/article.pdf" }, "codemeta:relatedLink": "https://ipolcore.ipol.im/demo/clientApp/demo.html?id=300", "codemeta:releaseNotes": "This code implements the LLCC method for image enhancement.", "codemeta:url": "https://www.ipol.im/pub/art/2020/300/", "codemeta:version": "2.0", "external_identifier": "ipol.2020.300", "title": "loglocal" }, "provider": { "metadata": {}, "provider_name": "", "provider_type": "deposit_client", "provider_url": "https://doi.org/10.5201/" }, "tool": { "configuration": { "sword_version": 2 }, "name": "swh-deposit", "version": "0.0.1" } } }, "when": "2020-06-05T08:56:42.517009+00:00" }, "original_artifact": [ { "checksums": { "sha1": "ab3cd5527cc7cb74bb1298c8b16fbcb2a2746027", "sha256": "ff44b0c2d4df6bb3831f7019a810edcf815f6f71493d0b85c43d211bc1933244" }, "filename": "archive.zip", "length": 682368 } ] }
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File | Mode | Size |
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llcc |
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