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

Research output: Contribution to journalArticle

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 languageEnglish
Article numbere0201455
Number of pages15
JournalPLoS ONE
Volume13
Issue number8
DOIs
Publication statusPublished - 16 Aug 2018

Fingerprint

Data reduction
X-radiation
Economics
X-Rays
X rays
economics
Processing
methodology

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.

Cite this

@article{c099074ff4ed482fa8dfd0cf02eb13f1,
title = "A competitive scheme for storing sparse representation of X-Ray medical images",
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",
author = "Rebollo-Neira, {Laura E}",
note = "{\circledC} 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.",
year = "2018",
month = "8",
day = "16",
doi = "10.1371/journal.pone.0201455",
language = "English",
volume = "13",
journal = "PLoS ONE",
issn = "1932-6203",
publisher = "Public Library of Science",
number = "8",

}

A competitive scheme for storing sparse representation of X-Ray medical images. / Rebollo-Neira, Laura E.

In: PLoS ONE, Vol. 13, No. 8, e0201455, 16.08.2018.

Research output: Contribution to journalArticle

TY - JOUR

T1 - A competitive scheme for storing sparse representation of X-Ray medical images

AU - Rebollo-Neira, Laura E

N1 - © 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.

PY - 2018/8/16

Y1 - 2018/8/16

N2 - 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

AB - 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

UR - https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0201455

UR - https://doi.org/10.17036/researchdata.aston.ac.uk.00000370

U2 - 10.1371/journal.pone.0201455

DO - 10.1371/journal.pone.0201455

M3 - Article

VL - 13

JO - PLoS ONE

JF - PLoS ONE

SN - 1932-6203

IS - 8

M1 - e0201455

ER -