Speckle free optical watermarking based on pseudo-random phase encoding
Watermarking is a process of embedding copiright information into an image to verify the ownership without any kind of corruption. In optical applications, the usage of diffusers is required to obtain a homogeneously distributed spectrum. However, the use of a diffuser in the input plane and the fin...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2016
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/8977
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/8977
- Palabra clave:
- Diffusers (optical)
Encoding (symbols)
Geometrical optics
Image coding
Image processing
Speckle
Vision
Watermarking
Input planes
Noise speckle
Numerical results
Optical applications
Optical image
Pseudo random
Random-phase encoding
Verification process
Signal processing
- Rights
- restrictedAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/
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Altuve M.Patino A.Altamar Mercado, HernandoMartínez-Santos, Juan Carlos2020-03-26T16:32:42Z2020-03-26T16:32:42Z20162016 21st Symposium on Signal Processing, Images and Artificial Vision, STSIVA 20169781509037971https://hdl.handle.net/20.500.12585/897710.1109/STSIVA.2016.7743296Universidad Tecnológica de BolívarRepositorio UTB571922753105719227930626325154200Watermarking is a process of embedding copiright information into an image to verify the ownership without any kind of corruption. In optical applications, the usage of diffusers is required to obtain a homogeneously distributed spectrum. However, the use of a diffuser in the input plane and the finite size of the sensor leave the recovered watermark with noise speckles. This noise affects negatively the verification process. We propose the usage of pseudo-random band-limited diffusers to place watermarks on optical images using a method based on Fourier-transform and random phase encoding algorithm. Such diffusers can help to recover a free-speckle watermark. The robustness to typical attacks is analyzed. Numerical results have shown its effectiveness. © 2016 IEEE.Universidad Pontificia Bolivariana (UPB) Seccional BucaramangaRecurso electrónicoapplication/pdfengInstitute of Electrical and Electronics Engineers Inc.http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/restrictedAccessAtribución-NoComercial 4.0 Internacionalhttp://purl.org/coar/access_right/c_16echttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85002518268&doi=10.1109%2fSTSIVA.2016.7743296&partnerID=40&md5=92f3b69e9106a10e82951b9a3f0ab9edScopus2-s2.0-8500251826821st Symposium on Signal Processing, Images and Artificial Vision, STSIVA 2016Speckle free optical watermarking based on pseudo-random phase encodinginfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionConferenciahttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_c94fDiffusers (optical)Encoding (symbols)Geometrical opticsImage codingImage processingSpeckleVisionWatermarkingInput planesNoise speckleNumerical resultsOptical applicationsOptical imagePseudo randomRandom-phase encodingVerification processSignal processing30 August 2016 through 2 September 2016Aagedal, H., Schmid, M., Beth, T., Teiwes, S., Wyrowski, F., Chaussee, R., Theory of Speckles in Diffractive Optics and ItsBräuer, R., Wyrowski, F., Bryngdahl, O., Diffusers in digital holography (1991) J. Opt. Soc. Am. A, 8 (3), pp. 572-578. , MarChhetri, B.B., Serikawa, S., Shimomura, T., Heuristic algorithm for calculation of sufficiently randomized objectindependent diffuser for holography (2000) Algorithms and Systems for Optical Information Processing IV, Volume 4113 of Proc. SPIE, pp. 205-216. , In B. J. D. Psaltis, editorGoodman, J., (2007) Speckle Phenomena in Optics: Theory and Applications.Goodman, J.W., (2005) Introduction to Fourier Optics, , Roberts and Company Publishers, 3 editionRawat, S., Raman, B., A blind watermarking algorithm based on fractional fourier transform and visual cryptography (2012) Signal Processing, 92 (6), pp. 1480-1491Wyrowski, F., Bryngdahl, O., Iterative Fourier-transform algorithm applied to computer holography (1988) J. Opt. Soc. Am. A, 5 (7), pp. 1058-1065. , Julhttp://purl.org/coar/resource_type/c_c94fTHUMBNAILMiniProdInv.pngMiniProdInv.pngimage/png23941https://repositorio.utb.edu.co/bitstream/20.500.12585/8977/1/MiniProdInv.png0cb0f101a8d16897fb46fc914d3d7043MD5120.500.12585/8977oai:repositorio.utb.edu.co:20.500.12585/89772023-05-26 16:30:55.464Repositorio Institucional UTBrepositorioutb@utb.edu.co |
dc.title.none.fl_str_mv |
Speckle free optical watermarking based on pseudo-random phase encoding |
title |
Speckle free optical watermarking based on pseudo-random phase encoding |
spellingShingle |
Speckle free optical watermarking based on pseudo-random phase encoding Diffusers (optical) Encoding (symbols) Geometrical optics Image coding Image processing Speckle Vision Watermarking Input planes Noise speckle Numerical results Optical applications Optical image Pseudo random Random-phase encoding Verification process Signal processing |
title_short |
Speckle free optical watermarking based on pseudo-random phase encoding |
title_full |
Speckle free optical watermarking based on pseudo-random phase encoding |
title_fullStr |
Speckle free optical watermarking based on pseudo-random phase encoding |
title_full_unstemmed |
Speckle free optical watermarking based on pseudo-random phase encoding |
title_sort |
Speckle free optical watermarking based on pseudo-random phase encoding |
dc.contributor.editor.none.fl_str_mv |
Altuve M. |
dc.subject.keywords.none.fl_str_mv |
Diffusers (optical) Encoding (symbols) Geometrical optics Image coding Image processing Speckle Vision Watermarking Input planes Noise speckle Numerical results Optical applications Optical image Pseudo random Random-phase encoding Verification process Signal processing |
topic |
Diffusers (optical) Encoding (symbols) Geometrical optics Image coding Image processing Speckle Vision Watermarking Input planes Noise speckle Numerical results Optical applications Optical image Pseudo random Random-phase encoding Verification process Signal processing |
description |
Watermarking is a process of embedding copiright information into an image to verify the ownership without any kind of corruption. In optical applications, the usage of diffusers is required to obtain a homogeneously distributed spectrum. However, the use of a diffuser in the input plane and the finite size of the sensor leave the recovered watermark with noise speckles. This noise affects negatively the verification process. We propose the usage of pseudo-random band-limited diffusers to place watermarks on optical images using a method based on Fourier-transform and random phase encoding algorithm. Such diffusers can help to recover a free-speckle watermark. The robustness to typical attacks is analyzed. Numerical results have shown its effectiveness. © 2016 IEEE. |
publishDate |
2016 |
dc.date.issued.none.fl_str_mv |
2016 |
dc.date.accessioned.none.fl_str_mv |
2020-03-26T16:32:42Z |
dc.date.available.none.fl_str_mv |
2020-03-26T16:32:42Z |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_c94f |
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info:eu-repo/semantics/conferenceObject |
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info:eu-repo/semantics/publishedVersion |
dc.type.spa.none.fl_str_mv |
Conferencia |
status_str |
publishedVersion |
dc.identifier.citation.none.fl_str_mv |
2016 21st Symposium on Signal Processing, Images and Artificial Vision, STSIVA 2016 |
dc.identifier.isbn.none.fl_str_mv |
9781509037971 |
dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12585/8977 |
dc.identifier.doi.none.fl_str_mv |
10.1109/STSIVA.2016.7743296 |
dc.identifier.instname.none.fl_str_mv |
Universidad Tecnológica de Bolívar |
dc.identifier.reponame.none.fl_str_mv |
Repositorio UTB |
dc.identifier.orcid.none.fl_str_mv |
57192275310 57192279306 26325154200 |
identifier_str_mv |
2016 21st Symposium on Signal Processing, Images and Artificial Vision, STSIVA 2016 9781509037971 10.1109/STSIVA.2016.7743296 Universidad Tecnológica de Bolívar Repositorio UTB 57192275310 57192279306 26325154200 |
url |
https://hdl.handle.net/20.500.12585/8977 |
dc.language.iso.none.fl_str_mv |
eng |
language |
eng |
dc.relation.conferencedate.none.fl_str_mv |
30 August 2016 through 2 September 2016 |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_16ec |
dc.rights.uri.none.fl_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ |
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info:eu-repo/semantics/restrictedAccess |
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Atribución-NoComercial 4.0 Internacional |
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http://creativecommons.org/licenses/by-nc-nd/4.0/ Atribución-NoComercial 4.0 Internacional http://purl.org/coar/access_right/c_16ec |
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restrictedAccess |
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Recurso electrónico |
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application/pdf |
dc.publisher.none.fl_str_mv |
Institute of Electrical and Electronics Engineers Inc. |
publisher.none.fl_str_mv |
Institute of Electrical and Electronics Engineers Inc. |
dc.source.none.fl_str_mv |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85002518268&doi=10.1109%2fSTSIVA.2016.7743296&partnerID=40&md5=92f3b69e9106a10e82951b9a3f0ab9ed Scopus2-s2.0-85002518268 |
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Universidad Tecnológica de Bolívar |
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21st Symposium on Signal Processing, Images and Artificial Vision, STSIVA 2016 |
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