Please use this identifier to cite or link to this item: https://idr.l3.nitk.ac.in/jspui/handle/123456789/15492
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dc.contributor.authorHolla R.
dc.contributor.authorMhala N.C.
dc.contributor.authorPais A.R.
dc.date.accessioned2021-05-05T10:27:11Z-
dc.date.available2021-05-05T10:27:11Z-
dc.date.issued2020
dc.identifier.citationInternational Journal of Computers and Applications Vol. , , p. -en_US
dc.identifier.urihttps://doi.org/10.1080/1206212X.2020.1830246
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/15492-
dc.description.abstractVisual Secret Sharing (VSS) is a technique used for sharing secret images between users. The existing VSS schemes reconstruct the original secret image as a halftone image with only a 50% contrast. The Randomized Visual Secret Sharing (RVSS) scheme overcomes the disadvantages of existing VSS schemes. Although RVSS extracts the secret image with better contrast, it is computationally expensive. This paper proposes a General Purpose Graphics Processing Unit (GPGPU)-based Randomized Visual Secret Sharing (GRVSS) technique that leverages data parallelism in the RVSS pipeline. The performance of the GRVSS is compared with the RVSS in a generic and PARAM Shavak supercomputer architecture. The GRVSS outperforms the RVSS in both architectures. © 2020 Informa UK Limited, trading as Taylor & Francis Group.en_US
dc.titleGPGPU-based randomized visual secret sharing (GRVSS) for grayscale and colour imagesen_US
dc.typeArticleen_US
Appears in Collections:1. Journal Articles

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