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General Information
Editor-in-chief
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2015 Vol.7(3): 219-222 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2015.V7.960

Watermarked Compressive Sensing Measurements Reconstructed by the Greedy Algorithms

Ali A. H. Karah Bash and Sema K. Kayhan
Abstract—This paper proposes a CS based watermarking algorithm. In this algorithm, the watermarking image embeds into the compressive measurement vectors by the encoder. The measurement vectors are sparse in suitable basis. The resulting watermarked measurements recover by using both the OMP and the OMP-PKS reconstruction algorithms. Then the decoder uses to extract the watermarking image.
In an experimental study, results obtained by the OMP and the OMP-PKS algorithms are compared. The results show that the OMP-PKS algorithm achieves performance superior to that of the OMP reconstruction algorithm.

Index Terms—Watermarking image, CS, OMP and OMP-PKS algorithms.

Ali A. H. Karah Bash and Sema K. Kayhan are with Gaziantep University, Turkey (e-mail: al_muhands2011@yahoo.com, skoc@gantep.edu.tr).

[PDF]

Cite:Watermarked Compressive Sensing Measurements Reconstructed by the Greedy Algorithms, "Watermarked Compressive Sensing Measurements Reconstructed by the Greedy Algorithms," International Journal of Computer Theory and Engineering vol. 7, no. 3, pp. 219-222, 2015.

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