Abstract
This paper addresses the classical image reconstruction problem from limited Fourier data. Here, we assume that a high-resolution reference which provides an initial estimate of the desired image is available. A new algorithm is described which represents the desired image using a family of basis functions derived from the reference image. The selection of the most efficient basis function set from this family is guided by the principle of maximum cross-entropy. Simulation and experimental results have shown that the algorithm can achieve high resolution with a small number of data points and can also account for relative rotation and translation between the reference and the measured data.
| Original language | English (US) |
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| Title of host publication | IEEE International Conference on Image Processing |
| Publisher | IEEE Comp Soc |
| Pages | 19-23 |
| Number of pages | 5 |
| Volume | 1 |
| State | Published - 1998 |
| Event | Proceedings of the 1998 International Conference on Image Processing, ICIP. Part 2 (of 3) - Chicago, IL, USA Duration: Oct 4 1998 → Oct 7 1998 |
Other
| Other | Proceedings of the 1998 International Conference on Image Processing, ICIP. Part 2 (of 3) |
|---|---|
| City | Chicago, IL, USA |
| Period | 10/4/98 → 10/7/98 |
ASJC Scopus subject areas
- Hardware and Architecture
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering