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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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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.

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  4/2011 - 11

A Novel Algorithm to Perform Precalculated Tables for the Real-Time Image Processing: Illustration with Image Rotation

IRKI, Z. See more information about IRKI, Z. on SCOPUS See more information about IRKI, Z. on IEEExplore See more information about IRKI, Z. on Web of Science, DEVY, M. See more information about DEVY, M. on SCOPUS See more information about DEVY, M. on SCOPUS See more information about DEVY, M. on Web of Science
 
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Download PDF pdficon (213 KB) | Citation | Downloads: 1,292 | Views: 3,148

Author keywords
algorithm, field programmable gate arrays, image processing, precalculated table, real-time

References keywords
time(6), real(6), image(6), vision(5), fpga(4), devy(4), correction(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2011-11-30
Volume 11, Issue 4, Year 2011, On page(s): 71 - 76
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2011.04011
Web of Science Accession Number: 000297764500011
SCOPUS ID: 84856588736

Abstract
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In this paper, we present an approach which makes uses of precalculated tables in order to carry out a real time image processing task. This approach is very useful when the relation between the input image and the output image (after treatment) is given in the backward direction (the input image is expressed using the output image). We illustrate this approach in the case of the rotation of an image around its center. We illustrate how theses precalculated tables should be built and the influence of some parameters on the size of theme. By the end, we discuss how this approach could be implemented on a reconfigurable hardware as an FPGA.


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

[1] K. T. Gribbon, C. T. Johnston, and D. G. Bailey, "A Real-time FPGA Implementation of a Barrel Distortion Correction algorithm with Bilinear Interpolation," in Image and Vision Computing NZ, Palmerston North, November 2003 , pp. 408-413.

[2] D. Phillips, "Image Processing in C, Second Edition", Electronic Edition April 2000.

[3] A. Jain, "Fundamentals of Digital Image Processing", Prentice-Hall, 1986, p 321.

[4] P. Mattson, D. Kim, Y. Kim "Generalized image warping using enhanced lookup tables", International Journal of Imaging Systems and Technology, Volume 9, Issue 6, Pages 475 - 483 Special Issue: Advanced Imaging Chip Architectures and Applications, 12 Dec 1998.

[5] G. Wolberg, T. E. Bolt, "Separable image warping with spatial lookup tables", Computer Graphics, Volume 23, Issue3 (July 1989), pp. 369-378.
[CrossRef]


[6] Z. Irki, M. Devy, P. Fillatreaud and J. L. Boizard, "An Approach for the Real-time Correction of Stereoscopic images", in ECMS2007 and Doctoral School (EDSYS,GEET); Librec, Czech Republic, May 2007, ISBN 978-80-7372-202-9.

[7] Z. Irki, M. Devy, K. Achour and M. S. Azzaz, "The Real-time Correction of Stereoscopic Images: From The serial to a Parallel Treatment", in The INTELLIGENT SYSTEMS AND AUTOMATION: 1st Mediterranean Conference on Intelligent Systems and Automation (CISA 08), AIP Conf. Proc. June 12, 2008 - Volume 1019, pp. 3-8.
[CrossRef] [SCOPUS Times Cited 1]


[8] Editor Al Bovik, "Handbook of Image and Video Processing", a volume in The Academic Press Series in Communications, Networking, and Multimedia, Series Editor in chief J.D. Gibson, ISBN 0-12-119790-5.

[9] A. Zisserman, "Notes on Geometric and Invariance in Vision", British Machine Vision Association and Society for Pattern Recognition, 1992, Chap. 2.aa

[10] B. Horn, "Robot Vision", MIT Press, 1986, pp. 314 - 315.

[11] Operation manual of " Digital Monochrome Quad Speed CMOS Scan Progressive Camera: CV-A33CL", manual version 1.0.

[12] A. Naoulou, "FPGA Based Architecture for Real Time Computation of the Census Transform and Correlation in Various Stereovision ContextsÂ’Â’, LAAS report December 2004.

[13] M. Devy & al, "Stereovision Algorithm to be Executed at 100Hz on a FPGA Based Architecture" in Advanced in Theory and Applications of Stereo Vision, Intech 2011.

[14] Z. Irki and M. Devy, "A Parallel Architecture for The real Time Correction of Stereoscopic Images", in PWASET Volume 30 July 2008 ISSN 1307-6884, pp. 960-966, 2008.

[15] B. Cherrad & al, "A software hardware mixed design for the FPGA implementation of a real time edge detection", SMC 2010, 10-13 Octobre 2010, Istanbul, Turquie.

References Weight

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

Web of Science® Average Citations per reference: 0
SCOPUS® Average Citations per reference: 0 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 2022-08-02 14:08 in 18 seconds.




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