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
|Number of pages||15|
|Publication status||Published - 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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A competitive scheme for storing sparse representation of X-Ray medical images
Rebollo-Neira, L. (Creator), Aston Data Explorer, 26 Jul 2018
DOI: 10.17036/researchdata.aston.ac.uk.00000370, https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0201455 and 2 more links, http://www.nonlinear-approx.info/examples/node08.html, http://www.data-compression.info/Corpora/LukasCorpus/ (show fewer)