Abstract
We address image estimation from sparse Fourier samples. The problem is formulated as joint estimation of the supports of unknown sparse objects in the image, and pixel values on these supports. The domain and the pixel values are alternately estimated using the level-set method and the conjugate gradient method, respectively. Our level-set evolution shows a unique switching behavior, which stabilizes the level-set evolution and removes the re-initialization steps in conventional level set approaches.
| Original language | English (US) |
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| Title of host publication | IEEE International Conference on Image Processing |
| Pages | 33-36 |
| Number of pages | 4 |
| Volume | 2 |
| State | Published - 2001 |
| Event | IEEE International Conference on Image Processing (ICIP) - Thessaloniki, Greece Duration: Oct 7 2001 → Oct 10 2001 |
Other
| Other | IEEE International Conference on Image Processing (ICIP) |
|---|---|
| Country/Territory | Greece |
| City | Thessaloniki |
| Period | 10/7/01 → 10/10/01 |
ASJC Scopus subject areas
- Hardware and Architecture
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering