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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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  2/2014 - 6

A Blind High-Capacity Wavelet-Based Steganography Technique for Hiding Images into other Images

HAMAD, S. See more information about HAMAD, S. on SCOPUS See more information about HAMAD, S. on IEEExplore See more information about HAMAD, S. on Web of Science, KHALIFA, A. See more information about  KHALIFA, A. on SCOPUS See more information about  KHALIFA, A. on SCOPUS See more information about KHALIFA, A. on Web of Science, ELHADAD, A. See more information about ELHADAD, A. on SCOPUS See more information about ELHADAD, A. on SCOPUS See more information about ELHADAD, A. on Web of Science
 
Click to see author's profile in See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (1,290 KB) | Citation | Downloads: 187 | Views: 2,925

Author keywords
blindness, digital images, discrete wavelet transforms, information security, payloads

References keywords
image(16), wavelet(15), watermarking(12), processing(12), signal(10), hiding(10), steganography(9), information(9), transform(7), images(7)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2014-05-31
Volume 14, Issue 2, Year 2014, On page(s): 35 - 42
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2014.02006
Web of Science Accession Number: 000340868100006
SCOPUS ID: 84901834430

Abstract
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The flourishing field of Steganography is providing effective techniques to hide data into different types of digital media. In this paper, a novel technique is proposed to hide large amounts of image data into true colored images. The proposed method employs wavelet transforms to decompose images in a way similar to the Human Visual System (HVS) for more secure and effective data hiding. The designed model can blindly extract the embedded message without the need to refer to the original cover image. Experimental results showed that the proposed method outperformed all of the existing techniques not only imperceptibility but also in terms of capacity. In fact, the proposed technique showed an outstanding performance on hiding a secret image whose size equals 100% of the cover image while maintaining excellent visual quality of the resultant stego-images.


References | Cited By  «-- Click to see who has cited this paper

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[2] A. Cheddad, J. Condell, K. Curran, and P. Mc Kevitt, "Digital image steganography: Survey and analysis of current methods," Signal Processing, vol. 90, pp. 727-752, 2010.
[CrossRef] [Web of Science Times Cited 646]


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[CrossRef]


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[CrossRef] [Web of Science Times Cited 99]


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[7] G. Thirugnanam and S. Arulselvi, "Wavelet Packet based Robust Digital Image Watermarking and Extraction using Independent Component Analysis," International Journal of Signal & Image Processing, vol. 1, pp. 80 - 87, 2010.

[8] S. K. Jinna and L. Ganesan, "Reversible Image data Hiding using Lifting wavelet Transform and Histogram Shifting," IJCSIS, vol. 7, pp. 283-289, 2010.

[9] M. F. Tolba, M. A. S. Ghonemy, I. A. H. Taha, and A. S. Khalifa, "High capacity image steganography using wavelet-based fusion," in Computers and Communications, 2004. Proceedings. ISCC 2004. Ninth International Symposium on, 2004, pp. 430-435 Vol.1.

[10] L. Fan, T. Gao, and Q. Yang, "A novel zero-watermark copyright authentication scheme based on lifting wavelet and Harris corner detection," Wuhan University Journal of Natural Sciences, vol. 15, pp. 408-414, 2010/10/01 2010.

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[CrossRef]


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[CrossRef] [Web of Science Times Cited 519]


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[CrossRef] [Web of Science Times Cited 39]


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[17] H. A.Abdallah, M. M.Hadhoud, A. A.Shaalan, and F. E.AbdElsamie, "Blind wavelet-based image watermarking," International Journal of Signal Processing, Image Processing and Pattern Recognition, vol. 4, pp. 15 - 28, 2011.

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[CrossRef]


[19] A. Khan, S. A. Malik, A. Ali, R. Chamlawi, M. Hussain, M. T. Mahmood, et al., "Intelligent reversible watermarking and authentication: Hiding depth map information for 3D cameras," Information Sciences, vol. 216, pp. 155-175, 2012.
[CrossRef] [Web of Science Times Cited 28]


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[CrossRef]


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[23] A. Khalifa and S. Hamad, "A Robust Non-blind Algorithm for Watermarking Color Images using Multi-resolution Wavelet Decomposition," International Journal of Computer Applications, vol. 37, 2012.

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[CrossRef] [Web of Science Times Cited 210]


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[CrossRef] [Web of Science Times Cited 17]


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[CrossRef]


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[31] C.-C. Chang, C.-C. Lin, C.-S. Tseng, and W.-L. Tai, "Reversible hiding in DCT-based compressed images," Information Sciences, vol. 177, pp. 2768-2786, 2007.
[CrossRef] [Web of Science Times Cited 187]


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[34] J. Spaulding, H. Noda, M. N. Shirazi, and E. Kawaguchi, "BPCS steganography using EZW lossy compressed images," Pattern Recognition Letters, vol. 23, pp. 1579-1587, 2002.
[CrossRef] [Web of Science Times Cited 58]




References Weight

Web of Science® Citations for all references: 1,814 TCR
SCOPUS® Citations for all references: 0

Web of Science® Average Citations per reference: 52 ACR
SCOPUS® Average Citations per reference: 0

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2021-01-10 03:13 in 91 seconds.




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