Cost effective region specific spatial domain color image watermarking scheme
Autor(a) principal: | |
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Data de Publicação: | 2008 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFLA |
Texto Completo: | http://repositorio.ufla.br/jspui/handle/1/15031 |
Resumo: | In object oriented images, ROI (Region of Interest) is an area which contains important information and attracts more attention of an image viewer. So it is desirable to embed robust watermark in ROI to give better protection. The present paper describes a region specific low cost (computational complexity) watermarking scheme in spatial domain by inserting data into the most valuable regions in the cover image. Those regions are selected by Quad tree decomposition of host image. Quad tree decomposition is a method of image segmentation which splits an image into regions such that large regions are formed when the intensities are uniform and small regions of variable sizes are created, in the comparatively non-uniform area of the image. Small regions represent the presence of critical information of the image, and hence are the important places of watermarking. Simulation results duly support this claims. |
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Cost effective region specific spatial domain color image watermarking schemeSpatial domain watermarkingCopyright protectionSegmentationQuad treeRegion of interest (ROI)In object oriented images, ROI (Region of Interest) is an area which contains important information and attracts more attention of an image viewer. So it is desirable to embed robust watermark in ROI to give better protection. The present paper describes a region specific low cost (computational complexity) watermarking scheme in spatial domain by inserting data into the most valuable regions in the cover image. Those regions are selected by Quad tree decomposition of host image. Quad tree decomposition is a method of image segmentation which splits an image into regions such that large regions are formed when the intensities are uniform and small regions of variable sizes are created, in the comparatively non-uniform area of the image. Small regions represent the presence of critical information of the image, and hence are the important places of watermarking. Simulation results duly support this claims.Universidade Federal de Lavras (UFLA)2008-09-012017-08-01T21:08:48Z2017-08-01T21:08:48Z2017-08-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfPHADIKAR, A. et al. Cost effective region specific spatial domain color image watermarking scheme. INFOCOMP Journal of Computer Science, Lavras, v. 7, n. 3, p. 17-24, Sept. 2008.http://repositorio.ufla.br/jspui/handle/1/15031INFOCOMP; Vol 7 No 3 (2008): September, 2008; 17-241982-33631807-4545reponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAenghttp://www.dcc.ufla.br/infocomp/index.php/INFOCOMP/article/view/225/210Copyright (c) 2016 INFOCOMP Journal of Computer ScienceAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessPhadikar, AmitMaity, Santi P.Verma, BhupendraJain, Sanjeev2021-09-10T02:43:46Zoai:localhost:1/15031Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2021-09-10T02:43:46Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false |
dc.title.none.fl_str_mv |
Cost effective region specific spatial domain color image watermarking scheme |
title |
Cost effective region specific spatial domain color image watermarking scheme |
spellingShingle |
Cost effective region specific spatial domain color image watermarking scheme Phadikar, Amit Spatial domain watermarking Copyright protection Segmentation Quad tree Region of interest (ROI) |
title_short |
Cost effective region specific spatial domain color image watermarking scheme |
title_full |
Cost effective region specific spatial domain color image watermarking scheme |
title_fullStr |
Cost effective region specific spatial domain color image watermarking scheme |
title_full_unstemmed |
Cost effective region specific spatial domain color image watermarking scheme |
title_sort |
Cost effective region specific spatial domain color image watermarking scheme |
author |
Phadikar, Amit |
author_facet |
Phadikar, Amit Maity, Santi P. Verma, Bhupendra Jain, Sanjeev |
author_role |
author |
author2 |
Maity, Santi P. Verma, Bhupendra Jain, Sanjeev |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Phadikar, Amit Maity, Santi P. Verma, Bhupendra Jain, Sanjeev |
dc.subject.por.fl_str_mv |
Spatial domain watermarking Copyright protection Segmentation Quad tree Region of interest (ROI) |
topic |
Spatial domain watermarking Copyright protection Segmentation Quad tree Region of interest (ROI) |
description |
In object oriented images, ROI (Region of Interest) is an area which contains important information and attracts more attention of an image viewer. So it is desirable to embed robust watermark in ROI to give better protection. The present paper describes a region specific low cost (computational complexity) watermarking scheme in spatial domain by inserting data into the most valuable regions in the cover image. Those regions are selected by Quad tree decomposition of host image. Quad tree decomposition is a method of image segmentation which splits an image into regions such that large regions are formed when the intensities are uniform and small regions of variable sizes are created, in the comparatively non-uniform area of the image. Small regions represent the presence of critical information of the image, and hence are the important places of watermarking. Simulation results duly support this claims. |
publishDate |
2008 |
dc.date.none.fl_str_mv |
2008-09-01 2017-08-01T21:08:48Z 2017-08-01T21:08:48Z 2017-08-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
PHADIKAR, A. et al. Cost effective region specific spatial domain color image watermarking scheme. INFOCOMP Journal of Computer Science, Lavras, v. 7, n. 3, p. 17-24, Sept. 2008. http://repositorio.ufla.br/jspui/handle/1/15031 |
identifier_str_mv |
PHADIKAR, A. et al. Cost effective region specific spatial domain color image watermarking scheme. INFOCOMP Journal of Computer Science, Lavras, v. 7, n. 3, p. 17-24, Sept. 2008. |
url |
http://repositorio.ufla.br/jspui/handle/1/15031 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
http://www.dcc.ufla.br/infocomp/index.php/INFOCOMP/article/view/225/210 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2016 INFOCOMP Journal of Computer Science Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2016 INFOCOMP Journal of Computer Science Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal de Lavras (UFLA) |
publisher.none.fl_str_mv |
Universidade Federal de Lavras (UFLA) |
dc.source.none.fl_str_mv |
INFOCOMP; Vol 7 No 3 (2008): September, 2008; 17-24 1982-3363 1807-4545 reponame:Repositório Institucional da UFLA instname:Universidade Federal de Lavras (UFLA) instacron:UFLA |
instname_str |
Universidade Federal de Lavras (UFLA) |
instacron_str |
UFLA |
institution |
UFLA |
reponame_str |
Repositório Institucional da UFLA |
collection |
Repositório Institucional da UFLA |
repository.name.fl_str_mv |
Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA) |
repository.mail.fl_str_mv |
nivaldo@ufla.br || repositorio.biblioteca@ufla.br |
_version_ |
1807835168315015168 |