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FPGA Embedded Implementation for Neutron Radiography Images Restoration Based on Tikhonov and TV Algorithms

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Warianty tytułu
PL
Implementacja w układzie FPGA algorytmu odtwarzania obrazu Radiografii Neutronowej przy wykorzystaniu metod Tikhonova oraz odchylenia całkowitego
Języki publikacji
EN
Abstrakty
EN
In this paper, we present a mixed software/hardware Implementation for image restoration using Tikhonov and Total Variations (TV) approaches. The proposed work is implemented and compiled on the embedded development kit EDK6.3i and the synthesis software ISE6.3i available with Xilinx Virtex-II FPGA using C language. The proposed implementation is designed to be integrated in the whole imaging system and image enhancement results have been appreciated by neutron radiography final users. The design can significantly accelerate the two Algorithms.
PL
W artykule przedstawiono zastosowanie metod Tikhonova oraz Odchylenia Całkowitego w algorytmie odtwarzania obrazu. Do implementacji w języku C, wykorzystano płytę rozwojową EDK 6.3i z układem FPGA Virtex II Pro firmy Xilinx wraz z oprogramowaniem ISE 6.3i.
Rocznik
Strony
322--326
Opis fizyczny
Bibliogr. 14 poz., tab., rys.
Twórcy
autor
autor
autor
Bibliografia
  • [1] S.Wong, L. Zaremba, D. Gooden and H. K. Huang. (1995). Radiologic Image Compression A Review, Proceeding of the IEEE, Vol. 83, No. 2. February 1995.
  • [2] M.H. Hassan. (2009). Point Scattered Function (PSF) for Fast Neutron Radiography, Nuclear Instruments and Methods in Physics Research B. 267: 2545–2549.
  • [3] J.Barzilai, and J. Borwein. (1988). Two-point step size gradient methods, IMA Journal of Numerical Analysis, 8, 141–148. 1988.
  • [4] O. S. Tehrani, M. Ashourian and P. Moallem. (2010). An FPGABased Implementation of Fixed-Point Standard-LMS Algorithm with Low Resource Utilization and Fast Convergence, International Review on Computers and Software (IRECOS), Praise Worthy Prize (Publishing House), Italy, Vol. 5, No. 4, pp. 436-444, July 2010.
  • [5] O.Laakkonen, K. Rauma, A. Penttinen, T. Härkönen, J. Luukko and O. Pyrhönen. (2006). Frequency Converter Control in single FPGA circuit, International Review of Electrical Engineering, IREE, Vol. 0. n. 0., pp.104−109.
  • [6] J.Park. (2007). Neutron Scattering Correction Functions for Neutron Radiographic Images, PhD Thesis. University of Michigan; 2000.
  • [7] D. K.Stand, M. Rudnicki. (2007). Regularization Parameter Selection In Discrete Ill–Posed Problems-The Use of The U–Curve, Int. J. Appl. Math. Comput. Sci., 2007, Vol. 17, No. 2, 157–164. DOI: 10.2478/v10006-007-0014-3.
  • [8] L.Rudin, S. Osher and E. Fatemi. (1992). Nonlinear Total Variation based noise removal algorithms, Physica D., 60:259–268, 1992.
  • [9] A.Chambolle. (2004). An algorithm for Total Variation minimization applications, Journal of Mathematical Imaging and Vision, 20:89–97.
  • [10] Xilinx, (January 2002), Virtex II Pro Platform FPGA Handbook, Ver 1.0 (available at www.xilinx.com).
  • [11] J.Viejo, M.J. Bellido. (2006). Efficient Design and Implementation on FPGA of a MicroBlaze Peripheral for Processing Direct Electrical Networks Measurements, 1- 4244– 0777-X/06.IEEE.2006.
  • [12] H.Lim, K. You, W. Sung. (2006). Design and Implementation of Speech Recognition on a Softcore Based FPGA, 1-4244-0469- X/06/IEEE, School of Electrical Engineering, Seoul National University, Korea.2006.
  • [13] D.Pellerin, S. Thibault. (2007). Practical FPGA Programming in C, Prentice Hall PTR, ISBN: 0-13- 154318-0. Pub date: 2007.
  • [14] S. Saadi, M. Touiza and A. Guessoum. (2007). Embedded System for Image Encoder/Decoder Based on Fast Wavelet MALLAT’s Algorithm: Application to Nuclear Imaging, IEEE, 4th International Conference on Computer Integrated Manufacturing CIP’2007, 3-4 November 2007, Setif, Algeria.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPS4-0004-0111
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