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Decomp2d: An R solution for image decomposition

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Authors

Oh, Hee-Seok; Choi, Guebin; Kim, Donghoh

Issue Date
2022-07
Publisher
Elsevier BV
Citation
SoftwareX, Vol.19, p. 101182
Abstract
The subjects of image processing include feature extraction, compression, denoising, image enhancement, and restoration. Many softwares have been developed for these studies. However, few studies have focused on decomposition in the literature, even though image decomposition is essential for image processing. This paper reviews several two-dimensional methods that can be adapted for image decomposition. Furthermore, we provide an R solution termed Decomp2d, tailored to the viewpoint of image decomposition based on existing R packages. © 2022 The Author(s)
ISSN
2352-7110
URI
https://hdl.handle.net/10371/185851
DOI
https://doi.org/10.1016/j.softx.2022.101182
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