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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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Visual Peoplemeter: A Vision-based Television Audience Measurement System, SKELIN, A. K., SUPUK, T. G., BONKOVIC, M.
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An Optimized Indoor RFID Positioning System Using 3D Mobility Pattern, REZA, A. W., RUI, T. T., KAUSAR, A. S.
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MAC-Level Communication Time Modeling and Analysis for Real-Time WSNs, STANGACIU, V., MICEA, M., CRETU, V.
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Implementation of Genetic Algorithm in Control Structure of Induction Motor A.C. Drive, BRANDSTETTER, P., DOBROVSKY, M., KUCHAR, M.
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Control Algorithms of Propulsion Unit with Induction Motors for Electric Vehicle, PALACKY, P., BRANDSTETTER, P., CHLEBIS, P., SLADECEK, V., SIMONIK, P., SLIVKA, D.
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IoT is a new emerging technology domain which will be used to connect all objects through the Internet for remote sensing and control. IoT uses a combination of WSN (Wireless Sensor Network), M2M (Machine to Machine), robotics, wireless networking, Internet technologies, and Smart Devices. We dedicate a special section of Issue 2/2017 to IoT. Prospective authors are asked to make the submissions for this section no later than the 16th of April 2017, placing "IoT - " before the paper title in OpenConf.

Thomson Reuters published the Journal Citations Report for 2015. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.459, and the JCR 5-Year Impact Factor is 0.442.

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Thomson Reuters published the Journal Citations Report for 2014. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.529, and the JCR 5-Year Impact Factor is 0.476.

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  3/2013 - 16

Enhanced Segment Compression Steganographic Algorithm

BUCUR, I. G. See more information about BUCUR, I. G. on SCOPUS See more information about BUCUR, I. G. on IEEExplore See more information about BUCUR, I. G. on Web of Science, STANESCU, D. See more information about  STANESCU, D. on SCOPUS See more information about  STANESCU, D. on SCOPUS See more information about STANESCU, D. on Web of Science, STRATULAT, M. See more information about STRATULAT, M. on SCOPUS See more information about STRATULAT, M. on SCOPUS See more information about STRATULAT, M. on Web of Science
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Download PDF pdficon (1,177 KB) | Citation | Downloads: 289 | Views: 1,704

Author keywords
digital image, digital signatures, image coding, information security

References keywords
steganography(8), image(8), digital(6), watermarking(5), hiding(5), processing(4)
No common words between the references section and the paper title.

About this article
Date of Publication: 2013-08-31
Volume 13, Issue 3, Year 2013, On page(s): 101 - 106
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2013.03016
Web of Science Accession Number: 000326321600016
SCOPUS ID: 84884911174

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Steganography is the science and art of concealing messages using techniques that allow only the sender and receiver to know of the messages existence and be able to decipher it. In this article, we would like to present a new steganographic technique for concealing digital images: the Enhanced Segment Compression Steganographic Algorithm (ESCSA). We start by mentioning several desired properties that we have taken into consideration for our algorithm. Next, we define some quality metrics with which we can measure how well / to what extent those properties are achieved. A detailed presentation of the component parts of the algorithm follows, accompanied by quantitative analyses of parameters of interest. Finally, we discuss the strengths and weaknesses of our algorithm. In addition, we make a few suggestions regarding possible further refinements of the ESCSA.

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

[1] Frank Y. Shih, Digital Watermarking and Steganography: Fundamentals and Techniques, CRC Press, ISBN 978-1-4200-4757-8, Boca Raton, FL, SUA, 2008

[2] Hajizadeh, M., Helfroush, M. S., Dehghani, M. J., Tashk, A., A Robust Blind Image Watermarking Method Using Local Maximum Amplitude Wavelet Coefficient Quantization, Advances in Electrical and Computer Engineering, vol.10, Issue 3,ISSN: 1582-7445,2010

[3] S.G.Hoggar, "Mathematics of Digital Images", Cambridge University Press, 2006, ISBN-13 9780521780292

[4] Ingemar J. Cox et al, Digital Watermarking and Steganography, 2nd edition, Morgan Kaufmann, ISBN 978-0-12-372585-1, Burlington, MA, SUA, 2008

[5] Daniela Stanescu, Ioan-Gabriel Bucur, Mircea Stratulat, Segment Compression Steganographic Algorithm, International Joint Conference on Computational Cybernetics and Technical Informatics (ICCC-CONTI), ISBN 978-1-4244-7432-5, 2010, pp. 349-354

[6] Eric Cole, Hiding in Plain Sight: Steganography and the Art of Covert Communication, Wiley Publishing, ISBN 0-471-44449-9, Indianapolis, IN, SUA, 2003

[7] Stefan Katzenbeisser, Fabien A. P. Petitcolas, Information Hiding Techniques for Steganography and Digital Watermarking, Artech House, ISBN 1-58053-035-4, Norwood, MA, SUA, 2000

[8] Dafas P., Stathaki T., Digital Image Watermarking using block-based Karhunen-Loeve Transform, Image and Signal Processing and Analysis, ISPA2003, Poceeding of the 3th International Symposium, 18-20, sept. 2003, ISBN: 953-184-061-X, pp1072-1075, vol.2

[9] Michael Gastpar, Pier Luigi Dragotti, Martin Vetterli, The Distribute Karhunen-Loeve Transform, IEEE Transaction on Information Theory, vol. 52, no.12, dec. 2006, pp 512-522
[CrossRef] [Web of Science Times Cited 79] [SCOPUS Times Cited 97]

[10] Gregory Kipper, Investigator's Guide to Steganography, CRC Press, ISBN 0849324335, Boca Raton, FL, SUA, 2004

[11] Daniela Sanescu, Valentin Stangaciu, Ioana Gergulescu, Mircea Stratulat, Steganography on Embedded Device, 5th International Symposium on Applied Computational Intelligence and Informatics, SACI 2009, ISBN:978-1-4244-4478-6, Timisoara, 2009, pp.313-317

[12] Boncelet C., MarvelL., Lossless Compression- Based Stegnalysis of LSB Embedded Images, 41st Annual Conference on Information Sciences and Systems, CISS'07,Baltimore, 14-16 March 2007, ISBN:1-4244-1037-1, pp.923-926

[13] Feng H., Effros M., On the rate-distortion performance and computational efficiency of the Karhunen-Loeve Transformfor lossy data compression, IEEE Transaction on Image Processing, feb. 2002, vol.11, Issue2, pp.113-122
[CrossRef] [Web of Science Times Cited 17] [SCOPUS Times Cited 20]

[14] Ki-Hyun Jung, Kyeoung-Ju Ha, Kee- Young Yoo, Image Data Hiding Method Based on Multi-Pixel Differencing and LSB Substitution Methods, International Conference on Convergence and Hybrid, Informatin Technology, ICHIT'08, Daejeon, 28-30 Aug., 2008, ISBN: 978-0-7695-3328-5, pp. 355-358

[15] Xiaolong Li, Tieyong Zeng, Bin Yang, Improvement of the Embedding Efficiency of LSB Matching by Sum and Difference Converting Set, IEEE International Conference on Multimedia, Hannover, June 23, 2008, pp.09-212

[16] W. Burger, M. Burger, Digital Image Processing, Springer, 2008, ISBN:978-1-84628-379-6

[17] Chang C-C., Chou H., Lin c-C., Colour Image-hiding scheme using human visual system, Imaging Science Journal, Oxford, UK, sept. 2006, vol. 54, nr.3, pp.152-163
[CrossRef] [Web of Science Times Cited 3] [SCOPUS Times Cited 3]

[18] Eric Cole, Hiding in Plain Sight: Steganography and the Art of Convert Communicating, Wiley Publishing, Inc., Indianapolis, SUA, ISBN: 0-471-44449-9, 2009

[19] Kawaguci E , Eason R., Large Capacity Steganography, U.S.Patent no. 6,473,516, oct. 29, 2002

[20] He Junhui Tang, Shaohua Wu Tingting, On the Security of Steganographic Techniques, Congress on Image and Signal Processing, CIPS, 2008, China, 27-30, May, pp716-719, vol.5

[21] A. Amaricai, O. Boncalo "Implementation of very high radix division in FPGAs" IET Electronics Letters, Vol.48, Issue 18, 2012

[22] [Online] Available: Temporary on-line reference link removed - see the PDF document


[37] [Online] Available: Temporary on-line reference link removed - see the PDF document

References Weight

Web of Science® Citations for all references: 99 TCR
SCOPUS® Citations for all references: 120 TCR

Web of Science® Average Citations per reference: 4 ACR
SCOPUS® Average Citations per reference: 5 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 2017-01-19 20:38 in 26 seconds.

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