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dc.contributor.author Akter, Lata Ayesha -
dc.contributor.author Moon, Inkyu -
dc.contributor.author Kwon, Goo-Rak -
dc.date.accessioned 2018-12-05T07:55:44Z -
dc.date.available 2018-12-05T07:55:44Z -
dc.date.created 2018-11-30 -
dc.date.issued 2019-06 -
dc.identifier.issn 1380-7501 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/9460 -
dc.description.abstract In this paper, a new integrated approach is proposed for authenticating digital color image. Here, a new technique, Poisson-Multinomial Distribution (PMD) is introduced for the first time in image processing. It is used for Photon Counting Imaging (PCI) which is integrated with Double Random Phase Encoding (DRPE) scheme in this system. The main goal of this proposal is to establish an image authentication architecture which will only work for 3D digital color images. It is a simplified way for applying PCI scheme on three channels of a 3D image simultaneously. The system will generate a stationary white noise as a final output, which will be difficult to decode for a third party attacker. This proposed scheme works directly with the original digital RGB image. At first, the system encrypts those three channels of the image individually with DRPE method without separating them and the amplitude part of the encrypted image is photon counted using PMD. Finally, to obtain an optimal result, a probability density function is used. On the authentication part, the reference digital image is encrypted by the same keys as the original image and then both of the encrypted images are compared with a statistical nonlinear correlation method. The numerical experiments say that, this proposed PMD based method is proven to be a good and simplified one that can be used to encrypt digital color images. In addition, even if the number of photons is really low, this new system can successfully differentiate between true class and false class images. To prove its efficiency we have also shown some experimental results under different situations. © 2018, Springer Science+Business Media, LLC, part of Springer Nature. -
dc.language English -
dc.publisher Springer New York LLC -
dc.title Double random phase encoding with a Poisson-multinomial distribution for efficient colorful image authentication -
dc.type Article -
dc.identifier.doi 10.1007/s11042-018-6844-1 -
dc.identifier.scopusid 2-s2.0-85056619671 -
dc.identifier.bibliographicCitation Multimedia Tools and Applications, v.78, no.11, pp.14613 - 14632 -
dc.description.isOpenAccess FALSE -
dc.subject.keywordAuthor Optical security and encryption -
dc.subject.keywordAuthor Pattern recognition -
dc.subject.keywordAuthor Poisson-multinomial distribution -
dc.subject.keywordAuthor Photon-counting imaging -
dc.subject.keywordAuthor Double randomphase encryption -
dc.subject.keywordAuthor Probability density function -
dc.subject.keywordAuthor Nonlinear correlations -
dc.subject.keywordAuthor Color image authentication -
dc.subject.keywordPlus OPTICAL ENCRYPTION -
dc.subject.keywordPlus TRANSFORM -
dc.subject.keywordPlus SYSTEM -
dc.citation.endPage 14632 -
dc.citation.number 11 -
dc.citation.startPage 14613 -
dc.citation.title Multimedia Tools and Applications -
dc.citation.volume 78 -
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Department of Robotics and Mechatronics Engineering Intelligent Imaging and Vision Systems Laboratory 1. Journal Articles

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