Abstract
Image restoration problems can be transformed into problems of solving a linear system Tx = b where T is a block-Toeplitz or near-block-Toeplitz matrix. However, for many of these problems, the size of the matrix T is usually very large. For instance, if we are going to manipulate a 1024-by-1024 pixel image, then T will be of the order 10242-by-10242. In this paper, we implement a parallel version of our existing 2-Dimensional Toeplitz solver in a data-parallel fashion on MasPar (DECmpp) by fully utilizing its massively parallel processing power. The package we developed is portable and easy-to-use. We will demonstrate how to use our package to recover a satellite image which is blurred by atmospheric turbulence. The implementation details and performance results will also be presented.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the High Performance Computing on the Information Superhighway HPC Asia '97 |
| Publisher | IEEE Computer Society |
| Pages | 389-394 |
| Number of pages | 6 |
| ISBN (Print) | 0818679018 |
| DOIs | |
| Publication status | Published - 1997 |
| Externally published | Yes |
| Event | 1997 2nd High Performance Computing on the Information Superhighway, HPC Asia'97 - Seoul, Korea, Republic of Duration: 28 Apr 1997 → 2 May 1997 |
Conference
| Conference | 1997 2nd High Performance Computing on the Information Superhighway, HPC Asia'97 |
|---|---|
| Country/Territory | Korea, Republic of |
| City | Seoul |
| Period | 28/04/97 → 2/05/97 |
Fingerprint
Dive into the research topics of 'Parallel implementation of 2-dimensional Toeplitz solver on MasPar with applications to image restoration'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver