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JCR Impact Factor: 0.595
JCR 5-Year IF: 0.661
Issues per year: 4
Current issue: May 2018
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Avg review time: 105 days


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

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


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Thomson Reuters published the Journal Citations Report for 2016. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.595, and the JCR 5-Year Impact Factor is 0.661.

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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 on 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: 99 | Views: 2,320

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

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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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References Weight

Web of Science® Citations for all references: 1,305 TCR
SCOPUS® Citations for all references: 1,925 TCR

Web of Science® Average Citations per reference: 37 ACR
SCOPUS® Average Citations per reference: 55 ACR

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 2018-06-20 19:21 in 112 seconds.

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