LEAST SUPPORT ORTHOGONAL MATCHING PURSUIT (LS-OMP) RECOVERY METHOD FOR INVISIBLE WATERMARKING IMAGE

ISRAA SH., TAWFIC and SEMA KOC, KAYHAN (2014) LEAST SUPPORT ORTHOGONAL MATCHING PURSUIT (LS-OMP) RECOVERY METHOD FOR INVISIBLE WATERMARKING IMAGE. In: Second International Conference on Advances in Computing, Electronics and Communication - ACEC 2014, 25 - 26 October 2014, Zurich, Switzerland.

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Abstract

In this paper a watermark embedding and recovery technique based on the compressed sensing theorem is proposed. Both host and watermark images are sparsified using DWT. In recovery process, a new method called Least Support Matching Pursuit (LS-OMP) is used to recover the watermark and the host images in clean conditions. LS-OMP algorithm adaptively chooses optimum L (Least Part of support), at each iteration. This new algorithm has some important characteristics: it has a low computational complex-ity comparing with ordinary OMP method Also, we develop an invisible image watermarking algorithm in the presence of compressive sampling using the LS-OMP. Simulation results show that LS-OMP outperforms many algorithms.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Keywords: Compressed sensing, Lest Support Orthogonal Matching Pursuit, Orthogonal matching pursuit, restricted isometry property, Watermark.
Depositing User: Mr. John Steve
Date Deposited: 30 May 2019 12:32
Last Modified: 30 May 2019 12:32
URI: http://publications.theired.org/id/eprint/3086

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