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

Laura E Rebollo-Neira*

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review


    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
    Original languageEnglish
    Article numbere0201455
    Number of pages15
    JournalPLoS ONE
    Issue number8
    Publication statusPublished - 16 Aug 2018

    Bibliographical note

    © 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.


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