Efficient Watermarking Method Based on Maximum Entropy Blocks Selection in Frequency Domain for Color Images
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...
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Institute of Electrical and Electronics Engineers Inc.
2022
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my.utp.eprints.331832022-07-06T08:20:35Z Efficient Watermarking Method Based on Maximum Entropy Blocks Selection in Frequency Domain for Color Images Singh, R. Izhar, L.I. Elamvazuthi, I. Ashok, A. Aole, S. Sharma, N. 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. Institute of Electrical and Electronics Engineers Inc. 2022 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131519325&doi=10.1109%2fACCESS.2022.3174964&partnerID=40&md5=4842ebf6befd5d3e1965ff7a1100a2f0 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. http://eprints.utp.edu.my/33183/ |
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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. |
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Article |
author |
Singh, R. Izhar, L.I. Elamvazuthi, I. Ashok, A. Aole, S. Sharma, N. |
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Singh, R. Izhar, L.I. Elamvazuthi, I. Ashok, A. Aole, S. Sharma, N. Efficient Watermarking Method Based on Maximum Entropy Blocks Selection in Frequency Domain for Color Images |
author_facet |
Singh, R. Izhar, L.I. Elamvazuthi, I. Ashok, A. Aole, S. Sharma, N. |
author_sort |
Singh, R. |
title |
Efficient Watermarking Method Based on Maximum Entropy Blocks Selection in Frequency Domain for Color Images |
title_short |
Efficient Watermarking Method Based on Maximum Entropy Blocks Selection in Frequency Domain for Color Images |
title_full |
Efficient Watermarking Method Based on Maximum Entropy Blocks Selection in Frequency Domain for Color Images |
title_fullStr |
Efficient Watermarking Method Based on Maximum Entropy Blocks Selection in Frequency Domain for Color Images |
title_full_unstemmed |
Efficient Watermarking Method Based on Maximum Entropy Blocks Selection in Frequency Domain for Color Images |
title_sort |
efficient watermarking method based on maximum entropy blocks selection in frequency domain for color images |
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Institute of Electrical and Electronics Engineers Inc. |
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2022 |
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131519325&doi=10.1109%2fACCESS.2022.3174964&partnerID=40&md5=4842ebf6befd5d3e1965ff7a1100a2f0 http://eprints.utp.edu.my/33183/ |
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