Click to open the HelpDesk interface
AECE - Front page banner



JCR Impact Factor: 1.221
JCR 5-Year IF: 0.961
SCOPUS CiteScore: 2.5
Issues per year: 4
Current issue: Aug 2021
Next issue: Nov 2021
Avg review time: 88 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


1,776,474 unique visits
Since November 1, 2009

Robots online now


SCImago Journal & Country Rank


Anycast DNS Hosting

 Volume 21 (2021)
     »   Issue 3 / 2021
     »   Issue 2 / 2021
     »   Issue 1 / 2021
 Volume 20 (2020)
     »   Issue 4 / 2020
     »   Issue 3 / 2020
     »   Issue 2 / 2020
     »   Issue 1 / 2020
 Volume 19 (2019)
     »   Issue 4 / 2019
     »   Issue 3 / 2019
     »   Issue 2 / 2019
     »   Issue 1 / 2019
 Volume 18 (2018)
     »   Issue 4 / 2018
     »   Issue 3 / 2018
     »   Issue 2 / 2018
     »   Issue 1 / 2018
 Volume 17 (2017)
     »   Issue 4 / 2017
     »   Issue 3 / 2017
     »   Issue 2 / 2017
     »   Issue 1 / 2017
  View all issues  


Optimization of Charge/Discharge Coordination to Satisfy Network Requirements Using Heuristic Algorithms in Vehicle-to-Grid Concept, DOGAN, A., BAHCECI, S., DALDABAN, F., ALCI, M.
Issue 1/2018


Fault Tolerant Distributed Python Software Transactional Memory, POPOVIC, M., BASICEVIC, I., DJUKIC, M., POPOVIC, M.
Issue 4/2020


Triple-feature-based Particle Filter Algorithm Used in Vehicle Tracking Applications, ABDULLA, A. A., GRAOVAC, S., PAPIC, V., KOVACEVIC., B.
Issue 2/2021


Improved Classification by Non Iterative and Ensemble Classifiers in Motor Fault Diagnosis, PANIGRAHY, P. S., CHATTOPADHYAY, P.
Issue 1/2018


Differential Evolution Implementation for Power Quality Disturbances Monitoring using OpenCL, SOLIS-MUNOZ, F. J., OSORNIO-RIOS, R. A., ROMERO-TRONCOSO, R. J., JAEN-CUELLAR, A. Y.
Issue 2/2019


An Improved Analytical Methodology for Joint Distribution in Probabilistic Load Flow, WANG, T., XIANG, Y., LI, C., MI, D., WANG, Z.
Issue 1/2020



Clarivate Analytics published the InCites Journal Citations Report for 2020. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 1.221 (1.053 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.961.

SCOPUS published the CiteScore for 2020, computed by using an improved methodology, counting the citations received in 2017-2020 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering in 2020 is 2.5, better than all our previous results.

Release of the v3 version of AECE Journal website. We moved to a new server and implemented the latest cryptographic protocols to assure better compatibility with the most recent browsers. Our website accepts now only TLS 1.2 and TLS 1.3 secure connections.

Clarivate Analytics published the InCites Journal Citations Report for 2019. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 1.102 (1.023 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.734.

Starting on the 15th of June 2020 we wiil introduce a new policy for reviewers. Reviewers who provide timely and substantial comments will receive a discount voucher entitling them to an APC reduction. Vouchers (worth of 25 EUR or 50 EUR, depending on the review quality) will be assigned to reviewers after the final decision of the reviewed paper is given. Vouchers issued to specific individuals are not transferable.

Read More »


  3/2018 - 10

All-Weather Road Image Enhancement using Multicolor Content-Aware Color Constancy

LEE, D. See more information about LEE, D. on SCOPUS See more information about LEE, D. on IEEExplore See more information about LEE, D. on Web of Science, KIM, T. See more information about  KIM, T. on SCOPUS See more information about  KIM, T. on SCOPUS See more information about KIM, T. on Web of Science, BYUN, H. See more information about  BYUN, H. on SCOPUS See more information about  BYUN, H. on SCOPUS See more information about BYUN, H. on Web of Science, CHOI, Y. See more information about CHOI, Y. on SCOPUS See more information about CHOI, Y. on SCOPUS See more information about CHOI, Y. on Web of Science
View the paper record and citations in View the paper record and citations in Google Scholar
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 (7,208 KB) | Citation | Downloads: 508 | Views: 1,320

Author keywords
image enhancement, color, image color analysis, object recognition, road vehicles

References keywords
image(6), retinex(5), processing(4), memory(4), automatic(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2018-08-31
Volume 18, Issue 3, Year 2018, On page(s): 67 - 78
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2018.03010
Web of Science Accession Number: 000442420900010
SCOPUS ID: 85052053137

Quick view
Full text preview
This paper proposes a method that enhances the road images in real-time, which is an essential part of advanced driver assistance systems. The proposed method restores distorted colors in road images due to illumination by harnessing the relationship between known traffic signs and detected traffic signs via a traffic sign recognition system. The relationship is represented with Von Kries color constancy model which we aim to estimate and apply to the entire image. The proposed method uses a road traffic sign recognition system that is robust against illumination changes. It uses the difference between the detected color values of the traffic sign and an existing reference color values to obtain the coefficients of the Von Kries color constancy method, which is then applied to correct the road images in real time. Our method runs in real time and we tested the proposed method on various road driving images to show superior image enhancement performance regardless of the weather or time of day, compared to methods based on existing image processing techniques and color constancy method such as white balance.

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

[1] Y. Zhang, J. Xue, G. Zhang, Y. Zhang, and N. Zheng, "A multi-feature fusion based traffic light recognition algorithm for intelligent vehicles," 33rd Chinese Control Conference (CCC), pp. 4924-4929, 2014.
[CrossRef] [SCOPUS Times Cited 23]

[2] M. Diaz-Cabrera, P. Cerri, and P. Medici, "Robust real-time traffic light detection and distance estimation using a single camera," Expert Systems with Applications, pp. 3911-3923, 2014.
[CrossRef] [Web of Science Times Cited 50] [SCOPUS Times Cited 65]

[3] M. A. A. Sheikh, A. Kole, T. Maity, "Traffic sign detection and classification using colour feature and neural network," In Intelligent Control Power and Instrumentation (ICICPI), pp. 307-311, 2016.
[CrossRef] [SCOPUS Times Cited 12]

[4] E. H. Land and J. J. McCann, "Lightness and Retinex Theory," Josa, vol. 61, no. 1, pp.1-11, 1971.
[CrossRef] [SCOPUS Times Cited 2499]

[5] D. J. Jobson, Z. Rahman, and G. A. Woodell, "Properties and Performance of a Center/Surround Retinex," IEEE Transactions on Image Processing, vol. 6, no. 3, pp 451-462, 1997.
[CrossRef] [Web of Science Times Cited 973] [SCOPUS Times Cited 1396]

[6] Z. U. Rahman, D. J. Jobson, and G. A. Woodell, "Multiscale Retinex for Color Image Enhancement," Image Processing, vol. 3, pp. 1003-1006, 1996.

[7] D. J. Jobson, Z. U. Rahman, and G. A. Woodell, "A Multiscale Retinex for Bridging the gap between Color Images and the Human Observation of Scenes," IEEE Transactions on Image processing, vol. 6, No. 7, pp. 965-976, 1997.
[CrossRef] [Web of Science Times Cited 1247] [SCOPUS Times Cited 1709]

[8] C. Gatta, A. Rizzi, D. Marini, "Ace: An Automatic Color Equalization Algorithm", In Conference on Colour in Graphics, Imaging, and Vision, pp. 316-320, 2002.

[9] M. D. Fairchild, "Color Appearance Models", John Wiley & Sons, 2013.

[10] G. Buchsbaum, "A Spatial Processor Model for Object Colour Perception," Journal of the Franklin institute, vol. 310, no. 1, pp 1-26, 1980.
[CrossRef] [Web of Science Times Cited 880] [SCOPUS Times Cited 1087]

[11] E. H. Land, "The Retinex Theory of Color Vision", pp. 2-17, Scientific America, 1977.
[CrossRef] [Web of Science Times Cited 945] [SCOPUS Times Cited 1303]

[12] J. Von Kries, "Die Gesichtsempfindungen", Handbuch der Physiologie der Menschen, 1905.

[13] T. Hansen, M. Olkkonen, S. Walter, and K. R. Gegenfurtner, " Memory Modulates Color Appearance," Nature Neuroscience, vol. 9, no. 11, pp1367-1368, 2006.
[CrossRef] [Web of Science Times Cited 260] [SCOPUS Times Cited 288]

[14] S. Xue, M. Tan, A. Mcnamara, J. Dorsey, and H. Rushmeier, "Exploring the Use of Memory Colors for Image Enhancement," IS&T/SPIE Electronic Imaging. International Society for Optics and Photonics, vol. 9014, 2014.
[CrossRef] [Web of Science Times Cited 9] [SCOPUS Times Cited 15]

[15] E. Rahtu, J. Nikkanen, J. Kannala, L. LepistLe, and J. Heikkilnd, "Applying Visual Object Categorization and Memory Colors for Automatic Color Constancy," In International Conference on Image Analysis and Processing, vol. 5716, pp. 873-882, 2009.
[CrossRef] [SCOPUS Times Cited 23]

[16] A. Moreno, B. Fernando, B. Kani, S. Saha, and S. Karaoglu, " Color Correction: a Novel Weighted Von Kries Model Based on Memory Colors," In International Workshop on Computational Color Imaging, vol. 6626, pp. 165-175, 2011.
[CrossRef] [SCOPUS Times Cited 12]

[17] H. Nachlieli, R. Bergman, D. Greig, C. Staelin, B. Oicherman, G. Ruckenstein, and D. Shaked, "Skin-sensitive Automatic Color Correction," SIGGRAPH, New Orleans, 2009. [Online] Available: Temporary on-line reference link removed - see the PDF document

[18] S. Bianco and Sc. Raimondo . "Adaptive Color Constancy Using Faces," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 36, no. 8, pp 1505-1518, 2014.
[CrossRef] [Web of Science Times Cited 37] [SCOPUS Times Cited 41]

[19] K. Lim, Y. Hong, Y. Choi, H. Byun, "Real-time Traffic Sign Recognition Based on a General Purpose GPU and Deep-learning," PLoS one, vol. 12, no. 3, 2017.
[CrossRef] [Web of Science Times Cited 17] [SCOPUS Times Cited 36]

[20] B. Froba and A. Ernst, "Face Detection with the Modified Census Transform," Proc. of the sixth IEEE International Conference on Automatic Face and Gesture Recognition, pp. 91-96. 2003.
[CrossRef] [Web of Science Times Cited 215]

References Weight

Web of Science® Citations for all references: 4,633 TCR
SCOPUS® Citations for all references: 8,509 TCR

Web of Science® Average Citations per reference: 221 ACR
SCOPUS® Average Citations per reference: 405 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 2021-11-25 15:51 in 112 seconds.

Note1: Web of Science® is a registered trademark of Clarivate Analytics.
Note2: SCOPUS® is a registered trademark of Elsevier B.V.
Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.

Copyright ©2001-2021
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania

All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.

Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.

Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.

Website loading speed and performance optimization powered by: