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DC poleHodnotaJazyk
dc.contributor.authorSluzek, Andrzej
dc.contributor.editorSkala, Václav
dc.date.accessioned2023-10-18T16:10:43Z
dc.date.available2023-10-18T16:10:43Z
dc.date.issued2023
dc.identifier.citationWSCG 2023: full papers proceedings: 1. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 379-384.en
dc.identifier.isbn978-80-86943-32-9
dc.identifier.issn2464–4617 (print)
dc.identifier.issn2464–4625 (CD/DVD)
dc.identifier.urihttp://hdl.handle.net/11025/54446
dc.format6 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencyen
dc.rights© Václav Skala - UNION Agencyen
dc.subjectkolorování obrazucs
dc.subjectodbarvovánícs
dc.subjectmodely rgb2greycs
dc.subjectvizuální věrohodnostcs
dc.subjectbarevné modelycs
dc.titleOn Unguided Automatic Colorization of Monochrome Imagesen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedImage colorization is a challenging problem due to the infinite RGB solutions for a grayscale picture. Therefore, human assistance, either directly or indirectly, is essential for achieving visually plausible colorization. This paper aims to perform colorization using only a grayscale image as the data source, without any reliance on metadata or human hints. The method assumes an (arbitrary) rgb2gray model and utilizes a few simple heuristics. Despite probabilistic elements, the results are visually acceptable and repeatable, making this approach feasible (e.g. for aesthetic purposes) in domains where only monochrome visual representations exist. The paper explains the method, presents exemplary results, and discusses a few supplementary issues.en
dc.subject.translatedimage colorizationen
dc.subject.translateddecolorizationen
dc.subject.translatedrgb2gray modelsen
dc.subject.translatedvisual plausibilityen
dc.subject.translatedcolor modelsen
dc.identifier.doihttps://www.doi.org/10.24132/CSRN.3301.38
dc.type.statusPeer-revieweden
Vyskytuje se v kolekcích:WSCG 2023: Full Papers Proceedings

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