Name
Abstract | ||
|---|---|---|
A new approach for volumetric deformation compensation in temporally predictive coding of dynamic medical heart images is presented. Instead of using conventional vectors, motion is represented by deformation values to model 3-D muscle contractions. In this way, estimated motion is more homogeneous among the image domain and predictions do not contain disturbing blocking artifacts making the approach suitable also for non-block-based transform coding. It is shown that with equal numbers of motion values the method can achieve prediction accuracies similar to cube-based motion estimation. The run time of the described parallel implementation in Nvidia CUDA is shown to be shorter than for an equivalent implementation of cube-based motion estimation. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/PCS.2013.6737715 | Picture Coding Symposium |
Keywords | Field | DocType |
image coding,medical image processing,motion estimation,3-D muscle contractions,Nvidia CUDA,cube-based motion estimation,dynamic cardiac images,dynamic medical heart images,nonblock-based transform coding,predictive coding,volumetric deformation compensation | Computer vision,Quarter-pixel motion,Computer science,CUDA,Motion compensation,Transform coding,Coding (social sciences),Artificial intelligence,Motion estimation,Deformation (mechanics),Cube | Conference |
ISSN | ISBN | Citations |
2330-7935 | 978-1-4799-0292-7 | 0 |
PageRank | References | Authors |
0.34 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Weinlich, A. | 1 | 1 | 0.70 |
| Batz, M. | 2 | 2 | 0.72 |
| Peter Amon | 3 | 201 | 23.28 |
| Hutter, A. | 4 | 34 | 4.29 |