Name
Abstract | ||
|---|---|---|
•We model an image as a union of complementary dual components.•We employ feature-optimized alternating reconstruction of complementary dual images.•We use TV and wavelet regularization for a baseline image and complementary details.•The proposed method is evaluated using numerical phantom and in vivo data sets.•The proposed method preserves image details well at high reduction factors. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1016/j.media.2014.01.004 | Medical Image Analysis |
Keywords | Field | DocType |
Magnetic resonance imaging,Compressed sensing,Complementary decomposition,Wavelet,Total variation | Computer vision,Pattern recognition,Local scale,Feature (computer vision),Minification,Artificial intelligence,Piecewise,Mathematics,Compressed sensing,Wavelet,Data consistency | Journal |
Volume | Issue | ISSN |
18 | 3 | 1361-8415 |
Citations | PageRank | References |
4 | 0.44 | 25 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Suhyung Park | 1 | 4 | 0.44 |
| Jaeseok Park | 2 | 19 | 6.05 |