Cargando…

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

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 imag...

Descripción completa

Detalles Bibliográficos
Autor principal: Rebollo-Neira, Laura
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6095508/
https://www.ncbi.nlm.nih.gov/pubmed/30114219
http://dx.doi.org/10.1371/journal.pone.0201455
_version_ 1783347947527733248
author Rebollo-Neira, Laura
author_facet Rebollo-Neira, Laura
author_sort Rebollo-Neira, Laura
collection PubMed
description 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.
format Online
Article
Text
id pubmed-6095508
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-60955082018-08-30 A competitive scheme for storing sparse representation of X-Ray medical images Rebollo-Neira, Laura PLoS One Research Article 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. Public Library of Science 2018-08-16 /pmc/articles/PMC6095508/ /pubmed/30114219 http://dx.doi.org/10.1371/journal.pone.0201455 Text en © 2018 Laura Rebollo-Neira http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Rebollo-Neira, Laura
A competitive scheme for storing sparse representation of X-Ray medical images
title A competitive scheme for storing sparse representation of X-Ray medical images
title_full A competitive scheme for storing sparse representation of X-Ray medical images
title_fullStr A competitive scheme for storing sparse representation of X-Ray medical images
title_full_unstemmed A competitive scheme for storing sparse representation of X-Ray medical images
title_short A competitive scheme for storing sparse representation of X-Ray medical images
title_sort competitive scheme for storing sparse representation of x-ray medical images
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6095508/
https://www.ncbi.nlm.nih.gov/pubmed/30114219
http://dx.doi.org/10.1371/journal.pone.0201455
work_keys_str_mv AT rebolloneiralaura acompetitiveschemeforstoringsparserepresentationofxraymedicalimages
AT rebolloneiralaura competitiveschemeforstoringsparserepresentationofxraymedicalimages