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)|
|Number of pages||4|
|Journal||ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings|
|State||Published - Dec 1 1985|
All Science Journal Classification (ASJC) codes
- Signal Processing
- Electrical and Electronic Engineering