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. ISSN 21693536
Full text not available from this repository.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 |
---|---|
Additional Information: | cited By 8 |
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: | Mr Ahmad Suhairi UTP |
Date Deposited: | 19 Dec 2023 03:23 |
Last Modified: | 19 Dec 2023 03:23 |
URI: | https://khub.utp.edu.my/scholars/id/eprint/17624 |