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JCR Impact Factor: 0.595
JCR 5-Year IF: 0.661
Issues per year: 4
Current issue: May 2017
Next issue: Aug 2017
Avg review time: 78 days


PUBLISHER

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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ABC Algorithm based Fuzzy Modeling of Optical Glucose Detection, SARACOGLU, O. G., BAGIS, A., KONAR, M., TABARU, T. E.
Issue 3/2016

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LATEST NEWS

2017-Jun-14
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.

2017-Apr-04
We have the confirmation Advances in Electrical and Computer Engineering will be included in the EBSCO database.

2017-Feb-16
With new technologies, such as mobile communications, internet of things, and wide applications of social media, organizations generate a huge volume of data, much faster than several years ago. Big data, characterized by high volume, diversity and velocity, increasingly drives decision making and is changing the landscape of business intelligence, from governments to private organizations, from communities to individuals. Big data analytics that discover insights from evidences has a high demand for computing efficiency, knowledge discovery, problem solving, and event prediction. We dedicate a special section of Issue 4/2017 to Big Data. Prospective authors are asked to make the submissions for this section no later than the 31st of May 2017, placing "BigData - " before the paper title in OpenConf.

2017-Jan-30
We have the confirmation Advances in Electrical and Computer Engineering will be included in the Gale database.

2016-Dec-17
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 31st of March 2017, placing "IoT - " before the paper title in OpenConf.

Read More »


    
 

  3/2013 - 13

Quantum Image Filtering in the Frequency Domain

CARAIMAN, S. See more information about CARAIMAN, S. on SCOPUS See more information about CARAIMAN, S. on IEEExplore See more information about CARAIMAN, S. on Web of Science, MANTA, V. I. See more information about MANTA, V. I. on SCOPUS See more information about MANTA, V. I. on SCOPUS See more information about MANTA, V. I. 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 (708 KB) | Citation | Downloads: 416 | Views: 2,607

Author keywords
quantum image processing, quantum Fourier transform, quantum oracle, image filtering

References keywords
quantum(28), images(7), computation(6), processing(5), image(5), hirota(5), dong(5), quant(4), iliyasu(4)
Blue keywords are present in both 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): 77 - 84
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2013.03013
Web of Science Accession Number: 000326321600013
SCOPUS ID: 84884914407

Abstract
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In this paper we address the emerging field of Quantum Image Processing. We investigate the use of quantum computing systems to represent and manipulate images. In particular, we consider the basic task of image filtering. We prove that a quantum version for this operation can be achieved, even though the quantum convolution of two sequences is physically impossible. In our approach we use the principle of the quantum oracle to implement the filter function. We provide the quantum circuit that implements the filtering task and present the results of several simulation experiments on grayscale images. There are important differences between the classical and the quantum implementations for image filtering. We analyze these differences and show that the major advantage of the quantum approach lies in the exploitation of the efficient implementation of the quantum Fourier transform.


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

[1] D. R. Simon, "On the Power of Quantum Computation", SIAM J. Comput. 26, 5, pp. 1474-1483, 1997,
[CrossRef] [Web of Science Times Cited 243]


[2] D. Deutsch and R. Jozsa, "Rapid Solution of Problems by Quantum Computation", Proc. R. Soc. Lond. A, 439, pp. 553-558, 1992,
[CrossRef] [Web of Science Times Cited 936]


[3] E. Bernstein and U. Vazirani, "Quantum Complexity Theory", SIAM J. Comput. 26, 5 pp. 1411-1473, 1997,
[CrossRef] [Web of Science Times Cited 410]


[4] P. Shor, "Algorithms For Quantum Computation: Discrete Logarithms and Factoring", in: SFCS '94: Proc. of the 35th Annual Symposium on Foundations of Computer Science, IEEE Computer Society, 1994, pp. 124-134,
[CrossRef]


[5] A. Fijany, C. Williams, "Quantum Wavelet Transform: Fast Algorithm and Complete Circuits", arXiv:quant-ph/9809004, 1998.

[6] A. Klappenecker, M. Roetteler, "Discrete Cosine Transforms on Quantum Computers", arXiv:quant-ph/0111038, 2001.

[7] C. C. Tseng, T. M. Hwang, "Quantum Circuit Design of 8x8 Discrete Cosine Transform Using Its Fast Computation Flow Graph", in: Circuits and Systems, 2005. ISCAS 2005. IEEE International Symposium on, pp. 828-831 Vol. 1,
[CrossRef]


[8] S. Venegas-Andraca and S. Bose, "Storing, Processing and Retrieving an Image Using Quantum Mechanics," in Proc. of the SPIE Conf. Quantum Information and Computation, 2003, pp. 137-147,
[CrossRef] [Web of Science Times Cited 54] [SCOPUS Times Cited 98]


[9] P. Le, F. Dong, and K. Hirota, "A Flexible Representation of Quantum Images for Polynomial Preparation, Image Compression, and Processing Operations," Quantum Inf. Process., vol. 10, pp. 63-84, 2011,
[CrossRef] [Web of Science Times Cited 83] [SCOPUS Times Cited 120]


[10] P. Q. Le, A. M. Iliyasu, F. Dong, K. Hirota, "Strategies for Designing Geometric Transformations on Quantum Images", Theor. Comput. Sci. 412 (2011), 1406-1418,
[CrossRef] [Web of Science Times Cited 31] [SCOPUS Times Cited 43]


[11] P. Q. Le, A. M. Iliyasu, F. Dong, K. Hirota, "Efficient Color Transformations on Quantum Images", JACIII 15 (2011) 698-706.

[12] F. Yan, P. Q. Le, A. M. Iliyasu, B. Sun, J. A. Garcia, F. Dong and K. Hirota, "Assessing the Similarity of Quantum Images Based on Probability Measurements," 2012 IEEE World Congress on Computational Intelligence, Brisbane, 10-15 June 2012, pp. 1-6,
[CrossRef] [SCOPUS Times Cited 22]


[13] A. M. Iliyasu, P. Q. Le, F. Dong, and K. Hirota, "Watermarking and authentication of quantum images based on restricted geometric transformations". Inf. Sci. 186, 1, pp. 126-149, 2012,
[CrossRef] [Web of Science Times Cited 53] [SCOPUS Times Cited 75]


[14] W. Zhang, F. Gao, B. Liu, Q. Wen, and H. Chen, "A watermark strategy for quantum images based on quantum Fourier transform" Quantum Inf. Process. 12, 2, pp. 793-803, 2013,
[CrossRef] [Web of Science Times Cited 59] [SCOPUS Times Cited 60]


[15] G. Beach, C. Lomont, C. Cohen, "Quantum Image Processing (QuIP)", in: Proc. of 32nd Workshop on Applied Imagery Pattern Recognition, 2003, pp. 39-44,
[CrossRef] [SCOPUS Times Cited 33]


[16] L. K. Grover, "A Fast Quantum Mechanical Algorithm for Database Search", in: Proc. of the 28th annual ACM Symposium on Theory of Computing, STOC '96, ACM, New York, NY, USA, 1996, pp. 212-219,
[CrossRef]


[17] S. Venegas-Andraca, J. Ball, "Processing Images in Entangled Quantum Systems", Quantum Inf. Process. 9 (2010) 1-11,
[CrossRef] [Web of Science Times Cited 69] [SCOPUS Times Cited 83]


[18] J. Latorre, "Image Compression and Entanglement", arXiv:quantph/0510031, 2005.

[19] C. Lomont, "Quantum Convolution and Quantum Correlation Algorithms Are Physically Impossible," arXiv:quant-ph/0309070, 2003.

[20] M. Nielsen and I. Chuang, "Quantum Computation and Quantum Information", Cambridge Series on Information and the Natural Sciences. Cambridge, UK: Cambridge University Press, 2000

[21] G. Brassard, P. Hoyer, M. Mosca, A. Tapp, "Quantum Amplitude Amplification and Estimation", arXiv:quant-ph/0005055, 2000.

[22] S. Caraiman and V. Manta, "Image Processing Using Quantum Computing", 16th International Conference on System Theory, Control and Computing (ICSTCC), Sinaia, 12-14 October 2012, pp. 1-6.

References Weight

Web of Science® Citations for all references: 1,938 TCR
SCOPUS® Citations for all references: 534 TCR

Web of Science® Average Citations per reference: 88 ACR
SCOPUS® Average Citations per reference: 24 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 2017-06-22 08:52 in 99 seconds.




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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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