New algorithm based on wavelet theory for diffraction tomography

Isin Erer; Mesut Kartal; Bingul Yazgan

New algorithm based on wavelet theory for diffraction tomography

Isin Erer^*
, Mesut Kartal
, Bingul Yazgan

^*Corresponding author for this work

Department of Electronics and Communication Engineering

Istanbul Technical University

Research output: Contribution to conference › Paper › peer-review

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.

Original language	English
Pages	701-704
Number of pages	4
Publication status	Published - 1996
Event	Proceedings of the 1996 IEEE International Conference on Image Processing, ICIP'96. Part 2 (of 3) - Lausanne, Switz Duration: 16 Sept 1996 → 19 Sept 1996

Conference

Conference	Proceedings of the 1996 IEEE International Conference on Image Processing, ICIP'96. Part 2 (of 3)
City	Lausanne, Switz
Period	16/09/96 → 19/09/96

Cite this

@conference{2a0f8d182ce144ed95258129154942fa,

title = "New algorithm based on wavelet theory for diffraction tomography",

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.",

author = "Isin Erer and Mesut Kartal and Bingul Yazgan",

year = "1996",

language = "English",

pages = "701--704",

note = "Proceedings of the 1996 IEEE International Conference on Image Processing, ICIP'96. Part 2 (of 3) ; Conference date: 16-09-1996 Through 19-09-1996",

}

TY - CONF

T1 - New algorithm based on wavelet theory for diffraction tomography

AU - Erer, Isin

AU - Kartal, Mesut

AU - Yazgan, Bingul

PY - 1996

Y1 - 1996

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/0030397607

M3 - Paper

AN - SCOPUS:0030397607

SP - 701

EP - 704

T2 - Proceedings of the 1996 IEEE International Conference on Image Processing, ICIP'96. Part 2 (of 3)

Y2 - 16 September 1996 through 19 September 1996

ER -

New algorithm based on wavelet theory for diffraction tomography

Abstract

Conference

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