Table of Contents Author Guidelines Submit a Manuscript
Mathematical Problems in Engineering
Volume 2013, Article ID 128172, 8 pages
Research Article

A Superresolution Image Reconstruction Algorithm Based on Landweber in Electrical Capacitance Tomography

Higher Educational Key Laboratory for Measuring and Control Technology and Instrumentations of Heilongjiang Province, Harbin University of Science and Technology, Harbin, China

Received 25 April 2013; Accepted 19 August 2013

Academic Editor: Zhengguang Wu

Copyright © 2013 Chen Deyun et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. D. Y. Chen, X. Y. Yin, and L. Q. Sun, “Optimal design and simulation of electrical capacitance sensor for electrical tomography system,” Journal of Electronic Measurement and Instrument, vol. 20, no. 1, pp. 22–27, 2006. View at Google Scholar
  2. W. Q. Yang and L. H. Peng, “Image reconstruction algorithms for electrical capacitance tomography,” Measurement Science and Technology, vol. 14, no. 1, pp. R1–R13, 2003. View at Publisher · View at Google Scholar · View at Scopus
  3. D. Chen, C. J. Yang, G. B. Zheng, X. Yu, and L. Sun, “Novel method of plotting sensor sensitivity field and image reconstruction algorithm for electrical capacitance tomography system,” Journal of Scientific Instrument, vol. 26, no. 3, pp. 229–234, 2005. View at Google Scholar · View at Scopus
  4. H.-X. Wang, X.-M. Zhu, and L.-F. Zhang, “Conjugate gradient algorithm for electrical capacitance tomography,” Journal of Tianjin University Science and Technology, vol. 38, no. 1, pp. 1–4, 2005. View at Google Scholar · View at Scopus
  5. D.-Y. Chen, Y. Chen, L.-L. Wang, and X.-Y. Yu, “A novel Gauss-Newton image reconstruction algorithm for Electrical Capacitance Tomography System,” Acta Electronica Sinica, vol. 4, no. 37, pp. 739–743, 2009. View at Google Scholar · View at Scopus
  6. Y. Chen, D. Y. Chen, and L. L. Wang, “Image reconstruction algorithm accelerated by polynomial for electrical capacitance tomography system,” Chinese Journal of Scientific Instrument, vol. 29, no. 12, pp. 2538–2542, 2008. View at Google Scholar
  7. K. M. Huang and X. Zhao, Inverse Problems and Applications of Electromagnetic Fields, Beijing Science Press, 2005.
  8. T. Y. Xiao, S. G. Yu, and Y. F. Wang, Numerical Solution of the Inverse Problem, Beijing Science Press, 2003.
  9. Y. F. Wang, Calculation Method and Application of the Inversion Problems, Beijing Higher Education Press, 2007.
  10. N. Nguyen, P. Milanfar, and G. H. Golub, “A computationally efficient superresolution image reconstruction algorithm,” IEEE Transactions on Image Processing, vol. 10, no. 4, pp. 573–583, 2001. View at Publisher · View at Google Scholar · View at Scopus
  11. X. D. Zhang, Linear Algebra in Signal Processing, Science Press, Beijing, China, 1997, Chinese.