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Authored by moranegg on May 26 2020, 3:13 PM.
https://archive.softwareheritage.org/swh:1:dir:1cdac93986d0ee72687d51893f9b8f9a5fa61f92;origin=https://doi.org/10.5201/ipol.2018.236;visit=swh:1:snp:3935a5d32ed955d4e30267c6718051a2391c5aec;anchor=swh:1:rev:672487d8be02ed1bc026297dabf2d7a0cea00d2d;path=//
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"codemeta:affiliation": "Universitat Illes Balears, Spain",
"codemeta:name": "Jose-Luis Lisani"
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"codemeta:affiliation": "Universit\u00e9 Paris Descartes, France",
"codemeta:name": "Antoni Buades"
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"codemeta:name": "Jean-Michel Morel"
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"codemeta:name": "Nicolas Limare"
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"codemeta:dateCreated": "2011-01-01",
"codemeta:datePublished": "2011-06-22",
"codemeta:description": "Image Color Cube Dimensional Filtering and Visualization",
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"codemeta:abstract": "We call RGB cube the three dimensional representation of the colors of a digital image in RGB space. It has been observed that 2D structures predominate in the color cube. They are qualitatively explained by two main causes: image blur and texture. In this article a filtering algorithm, the Local Linear Projection (LLP2), is used to smooth the 3D color distribution and to reveal the underlying 2D structures of the color clusters.",
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"codemeta:name": "Image Color Cube Dimensional Filtering and Visualization",
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