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

Laura E Rebollo-Neira

doi:10.1371/journal.pone.0201455

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 journal › Article › peer-review

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

Original language	English
Article number	e0201455
Number of pages	15
Journal	PLoS ONE
Volume	13
Issue number	8
DOIs	https://doi.org/10.1371/journal.pone.0201455
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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10.1371/journal.pone.0201455Licence: CC BY 3.0

A competitive scheme for storing sparse representation of X-Ray medical images
© 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.
Final published version, 3.93 MBLicence: CC BY 3.0

Cite this

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

Abstract

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