A competitive scheme for storing sparse representation of X-Ray medical images


A competitive scheme for economic storage of the informational content of an X-Ray image, as it can be used for further processing, is presented. It is demonstrated that sparse representation of that type of data can be encapsulated in a small file without affecting the quality of the recovered image. The proposed representation, which is inscribed within the context of data reduction, provides a format for saving the image information in a way that could assist methodologies for analysis and classification. The competitiveness of the resulting file is compared against the compression standards JPEG and JPEG2000

Publication DOI: https://doi.org/10.1371/journal.pone.0201455
Dataset DOI: https://doi.org/10.17036/researchdata.aston.ac.uk.00000370
Divisions: College of Engineering & Physical Sciences > School of Informatics and Digital Engineering > Mathematics
College of Engineering & Physical Sciences > Systems analytics research institute (SARI)
Additional Information: © 2018 Laura Rebollo-Neira. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Publication ISSN: 1932-6203
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Related URLs: https://journal ... al.pone.0201455 (Publisher URL)
PURE Output Type: Article
Published Date: 2018-08-16
Accepted Date: 2018-07-16
Authors: Rebollo-Neira, Laura E (ORCID Profile 0000-0002-7420-8977)



Version: Published Version

License: Creative Commons Attribution

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Version: Accepted Version

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