Double image encryption system using a nonlinear joint transform correlator in the Fourier domain

In this work, we present a new nonlinear joint transform correlator (JTC) architecture in the Fourier domain (FD) for the encryption and decryption of two simultaneous images. The main features of the proposed system are its increased level of security, the obtention of a single real-valued encrypte...

Descripción completa

Detalles Bibliográficos
Autores: Pérez, Ronal A, Pérez Cabré, Elisabet|||0000-0003-4244-4235, Vilardy Ortiz, Juan Manuel, Millán Garcia-Varela, M. Sagrario|||0000-0001-6950-2373, Torres Moreno, Cesar Orlando
Tipo de recurso: artículo
Fecha de publicación:2023
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/383900
Acceso en línea:https://hdl.handle.net/2117/383900
https://dx.doi.org/10.3390/s23031641
Access Level:acceso abierto
Palabra clave:Fourier transformations
Data encryption (Computer science)
Deep learning (Machine learning)
Double image encryption
Joint transform correlator (JTC)
Fourier domain
Fourier, Transformacions de
Aprenentatge profund
Xifratge (Informàtica)
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal
id ES_f17c882a5f7ffe4e6c8df959f6b43791
oai_identifier_str oai:upcommons.upc.edu:2117/383900
network_acronym_str ES
network_name_str España
repository_id_str
spelling Double image encryption system using a nonlinear joint transform correlator in the Fourier domainPérez, Ronal APérez Cabré, Elisabet|||0000-0003-4244-4235Vilardy Ortiz, Juan ManuelMillán Garcia-Varela, M. Sagrario|||0000-0001-6950-2373Torres Moreno, Cesar OrlandoFourier transformationsData encryption (Computer science)Deep learning (Machine learning)Double image encryptionJoint transform correlator (JTC)Fourier domainFourier, Transformacions deAprenentatge profundXifratge (Informàtica)Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyalIn this work, we present a new nonlinear joint transform correlator (JTC) architecture in the Fourier domain (FD) for the encryption and decryption of two simultaneous images. The main features of the proposed system are its increased level of security, the obtention of a single real-valued encrypted signal that contains the ciphered information of the two primary images and, additionally, a high image quality for the two final decrypted signals. The two images to be encrypted can be either related to each other, or independent signals. The encryption system is based on the double random phase encoding (DRPE), which is implemented by using a nonlinear JTC in the FD. The input plane of the JTC has four non-overlapping data distributions placed side-by-side with no blank spaces between them. The four data distributions are phase-only functions defined by the two images to encrypt and four random phase masks (RPMs). The joint power spectrum (JPS) is produced by the intensity of the Fourier transform (FT) of the input plane of the JTC. One of the main novelties of the proposal consists of the determination of the appropriate two nonlinear operations that modify the JPS distribution with a twofold purpose: to obtain a single real-valued encrypted image with a high level of security and to improve the quality of the decrypted images. The security keys of the encryption system are represented by the four RPMs, which are all necessary for a satisfactory decryption. The decryption system is implemented using a 4f-processor where the encrypted image and the security keys given by the four RPMs are introduced in the proper plane of the processor. The double image encryption system based on a nonlinear JTC in the FD increases the security of the system because there is a larger key space, and we can simultaneously validate two independent information signals (original images to encrypt) in comparison to previous similar proposals. The feasibility and performance of the proposed double image encryption and decryption system based on a nonlinear JTC are validated through computational simulations. Finally, we additionally comment on the proposed security system resistance against different attacks based on brute force, plaintext and deep learning.This research has been funded by the Universidad de La Guajira (Riohacha), the Universidad Popular del Cesar (Valledupar) and the Universitat Politècnica de Catalunya · BarcelonaTech.Peer ReviewedMultidisciplinary Digital Publishing Institute (MDPI)20232023-02-0220232023-02-22journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/383900https://dx.doi.org/10.3390/s23031641reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/3839002026-05-27T15:37:01Z
dc.title.none.fl_str_mv Double image encryption system using a nonlinear joint transform correlator in the Fourier domain
title Double image encryption system using a nonlinear joint transform correlator in the Fourier domain
spellingShingle Double image encryption system using a nonlinear joint transform correlator in the Fourier domain
Pérez, Ronal A
Fourier transformations
Data encryption (Computer science)
Deep learning (Machine learning)
Double image encryption
Joint transform correlator (JTC)
Fourier domain
Fourier, Transformacions de
Aprenentatge profund
Xifratge (Informàtica)
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal
title_short Double image encryption system using a nonlinear joint transform correlator in the Fourier domain
title_full Double image encryption system using a nonlinear joint transform correlator in the Fourier domain
title_fullStr Double image encryption system using a nonlinear joint transform correlator in the Fourier domain
title_full_unstemmed Double image encryption system using a nonlinear joint transform correlator in the Fourier domain
title_sort Double image encryption system using a nonlinear joint transform correlator in the Fourier domain
dc.creator.none.fl_str_mv Pérez, Ronal A
Pérez Cabré, Elisabet|||0000-0003-4244-4235
Vilardy Ortiz, Juan Manuel
Millán Garcia-Varela, M. Sagrario|||0000-0001-6950-2373
Torres Moreno, Cesar Orlando
author Pérez, Ronal A
author_facet Pérez, Ronal A
Pérez Cabré, Elisabet|||0000-0003-4244-4235
Vilardy Ortiz, Juan Manuel
Millán Garcia-Varela, M. Sagrario|||0000-0001-6950-2373
Torres Moreno, Cesar Orlando
author_role author
author2 Pérez Cabré, Elisabet|||0000-0003-4244-4235
Vilardy Ortiz, Juan Manuel
Millán Garcia-Varela, M. Sagrario|||0000-0001-6950-2373
Torres Moreno, Cesar Orlando
author2_role author
author
author
author
dc.subject.none.fl_str_mv Fourier transformations
Data encryption (Computer science)
Deep learning (Machine learning)
Double image encryption
Joint transform correlator (JTC)
Fourier domain
Fourier, Transformacions de
Aprenentatge profund
Xifratge (Informàtica)
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal
topic Fourier transformations
Data encryption (Computer science)
Deep learning (Machine learning)
Double image encryption
Joint transform correlator (JTC)
Fourier domain
Fourier, Transformacions de
Aprenentatge profund
Xifratge (Informàtica)
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal
description In this work, we present a new nonlinear joint transform correlator (JTC) architecture in the Fourier domain (FD) for the encryption and decryption of two simultaneous images. The main features of the proposed system are its increased level of security, the obtention of a single real-valued encrypted signal that contains the ciphered information of the two primary images and, additionally, a high image quality for the two final decrypted signals. The two images to be encrypted can be either related to each other, or independent signals. The encryption system is based on the double random phase encoding (DRPE), which is implemented by using a nonlinear JTC in the FD. The input plane of the JTC has four non-overlapping data distributions placed side-by-side with no blank spaces between them. The four data distributions are phase-only functions defined by the two images to encrypt and four random phase masks (RPMs). The joint power spectrum (JPS) is produced by the intensity of the Fourier transform (FT) of the input plane of the JTC. One of the main novelties of the proposal consists of the determination of the appropriate two nonlinear operations that modify the JPS distribution with a twofold purpose: to obtain a single real-valued encrypted image with a high level of security and to improve the quality of the decrypted images. The security keys of the encryption system are represented by the four RPMs, which are all necessary for a satisfactory decryption. The decryption system is implemented using a 4f-processor where the encrypted image and the security keys given by the four RPMs are introduced in the proper plane of the processor. The double image encryption system based on a nonlinear JTC in the FD increases the security of the system because there is a larger key space, and we can simultaneously validate two independent information signals (original images to encrypt) in comparison to previous similar proposals. The feasibility and performance of the proposed double image encryption and decryption system based on a nonlinear JTC are validated through computational simulations. Finally, we additionally comment on the proposed security system resistance against different attacks based on brute force, plaintext and deep learning.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023-02-02
2023
2023-02-22
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/383900
https://dx.doi.org/10.3390/s23031641
url https://hdl.handle.net/2117/383900
https://dx.doi.org/10.3390/s23031641
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute (MDPI)
publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute (MDPI)
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869424159893749760
score 15.300724

Similares en LA Referencia