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

Rebollo-Neira, Laura E (2018). A competitive scheme for storing sparse representation of X-Ray medical images. PLoS ONE, 13 (8),

Abstract

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: Engineering & Applied Sciences > Mathematics
Engineering & Applied 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.
Full Text Link:
Related URLs: https://journal ... al.pone.0201455 (Publisher URL)
Accepted Date: 2018-08-01
Published Date: 2018-08-16
Authors: Rebollo-Neira, Laura E ( 0000-0002-7420-8977)

Download

[img]

Version: Published Version

License: Creative Commons Attribution

| Preview

Export / Share Citation


Statistics

Additional statistics for this record