Efficient Watermarking Method Based on Maximum Entropy Blocks Selection in Frequency Domain for Color Images

Singh, R. and Izhar, L.I. and Elamvazuthi, I. and Ashok, A. and Aole, S. and Sharma, N. (2022) Efficient Watermarking Method Based on Maximum Entropy Blocks Selection in Frequency Domain for Color Images. IEEE Access, 10. pp. 52712-52723.

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Abstract

False-positive problem (FPP) is a one of the challenging tasks for the researchers. It authenticates the wrong owner to access the multimedia content. To overcome, the FPP problem, this paper introduces an efficient watermarking method based on the selection of highest entropy blocks. In this method, cover and watermark images are initially shuffled through Arnold transform. Then, the encrypted images are further processed by a 2-level discrete wavelet transform followed by singular value decomposition. The proposed method has been evaluated with geometrical, filtering, noise, and contrast adjustment attacks on the standard image datasets against five recently developed watermarking methods. The simulation results reveal that the proposed method outperforms the existing methods. © 2013 IEEE.

Item Type: Article
Impact Factor: cited By 0
Uncontrolled Keywords: Color; Color image processing; Cosine transforms; Discrete cosine transforms; Frequency domain analysis; Image compression; Image watermarking; Maximum entropy methods; Robustness (control systems); Signal reconstruction; Singular value decomposition; Watermarking; Wavelet decomposition, Arnold transform; Color watermarking; Discrete-wavelet-transform; False positive; False positive problem; Frequency domains; Frequency-domain analysis; Maximum-entropy; Robustness; Watermarking methods, Discrete wavelet transforms
Depositing User: Ms Sharifah Fahimah Saiyed Yeop
Date Deposited: 06 Jul 2022 08:20
Last Modified: 06 Jul 2022 08:20
URI: http://scholars.utp.edu.my/id/eprint/33183

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