Abstract
Visual 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.
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No potential conflict of interest was reported by the authors.
Additional information
Notes on contributors
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Raviraja Holla
Raviraja Holla is working as Assistant Professor in the Department of Information and Communication Technology Department, Manipal Institute of Technology (a constituent institution of Manipal Academy of Higher Education), Manipal. He completed B.E. (CSE) from Bangalore University, India and M.Tech. (CSE) from KSOU Mysore, India. He is currently pursuing Ph.D. from the Department of Computer Engineering, National Institute of Technology Karnataka (NITK), Surathkal. His areas of interest include Information Security, High-Performance Computing, and Semantic Web.
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Nikhil C. Mhala
Nikhil C. Mhala is Research Scholar in Department of Computer Science and Engineering, NITK Surathkal, India. He completed his B.E. (Computer Science and Engg.) from Prof Ram Meghe College of Engineering & Management, Badnera-Amravati, India and M.Tech. (Computer Science and Engg.) from Walchand College of Engineering, Sangli, India. His area of interest include Visual Cryptography, Image processing and Computer Vision.
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Alwyn R. Pais
Alwyn R. Pais is the head of Department of Computer Engineering, National Institute of Technology Karnataka (NITK) as well as an Associate Professor. He completed his B.Tech. (CSE) from Mangalore University, India, M.Tech. (CSE) from IIT Bombay, India, and PhD (CSE) in NITK, Surthkal. His area of interest includes Information Security, Image Processing and Computer Vision.