New algorithm based on wavelet theory for diffraction tomography


Erer I., Kartal M., Yazgan B.

Proceedings of the 1996 IEEE International Conference on Image Processing, ICIP'96. Part 2 (of 3), Lausanne, Switzerland, 16 - 19 September 1996, vol.2, pp.701-704 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 2
  • City: Lausanne
  • Country: Switzerland
  • Page Numbers: pp.701-704
  • Istanbul Technical University Affiliated: Yes

Abstract

The reconstruction algorithms based on microwave diffraction tomography have been developed to visualize multidimensional cross-section of an object. In this paper, a wavelet based approach is discussed for the solution of microwave diffraction tomography problem. The matrix equation is described in wavelet domain. The major advantages of this solution is that wavelet transform can usefully be severely truncated, that is turned into sparse expansions. The use of sparse matrix techniques leads to considerable reduction in computation time and data.