### Abstract

Several well-known imaging techniques operate by recording samples of the Fourier transform of the object function and then reconstructing the object by means of the 2-D inverse FFT. A central problem arises in interpolating from the inherent polar raster to a rectangular raster, so the inverse FFT can be properly applied. The authors consider the use of nearest neighbor and inverse distance interpolation when the angular recording interval is relatively small. The objective is to obtain a computationally simple reconstruction algorithm that achieves good resolution in the final image plane.

Original language | English (US) |
---|---|

Pages (from-to) | 1069-1072 |

Number of pages | 4 |

Journal | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |

State | Published - Dec 1 1985 |

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### All Science Journal Classification (ASJC) codes

- Software
- Signal Processing
- Electrical and Electronic Engineering

### Cite this

*ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings*, 1069-1072.

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*ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings*, pp. 1069-1072.

**NEAREST NEIGHBOR AND GENERALIZED INVERSE DISTANCE INTERPOLATION FOR FOURIER DOMAIN IMAGE RECONSTRUCTION.** / Jenkins, William Kenneth; Mather, B. C.; Munson, D. C.

Research output: Contribution to journal › Conference article

TY - JOUR

T1 - NEAREST NEIGHBOR AND GENERALIZED INVERSE DISTANCE INTERPOLATION FOR FOURIER DOMAIN IMAGE RECONSTRUCTION.

AU - Jenkins, William Kenneth

AU - Mather, B. C.

AU - Munson, D. C.

PY - 1985/12/1

Y1 - 1985/12/1

N2 - Several well-known imaging techniques operate by recording samples of the Fourier transform of the object function and then reconstructing the object by means of the 2-D inverse FFT. A central problem arises in interpolating from the inherent polar raster to a rectangular raster, so the inverse FFT can be properly applied. The authors consider the use of nearest neighbor and inverse distance interpolation when the angular recording interval is relatively small. The objective is to obtain a computationally simple reconstruction algorithm that achieves good resolution in the final image plane.

AB - Several well-known imaging techniques operate by recording samples of the Fourier transform of the object function and then reconstructing the object by means of the 2-D inverse FFT. A central problem arises in interpolating from the inherent polar raster to a rectangular raster, so the inverse FFT can be properly applied. The authors consider the use of nearest neighbor and inverse distance interpolation when the angular recording interval is relatively small. The objective is to obtain a computationally simple reconstruction algorithm that achieves good resolution in the final image plane.

UR - http://www.scopus.com/inward/record.url?scp=0022234415&partnerID=8YFLogxK

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M3 - Conference article

AN - SCOPUS:0022234415

SP - 1069

EP - 1072

JO - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing

JF - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing

SN - 0736-7791

ER -