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| Content Provider | Springer Nature Link |
|---|---|
| Author | Banicescu, Ioana Lim, Hyeona Cariño, Ricolindo L. Kim, Seongjai |
| Copyright Year | 2010 |
| Abstract | This article presents results of a parameter study for a new denoising model, using parallel computing and advanced dynamic load balancing techniques for performance improvement of implementations. A denoising model is suggested hybridizing total variation and Laplacian mean-curvature; the fourth-order model and its numerical procedure introduce a number of parameters. As a preliminary step in the model development, a parameter study has been undertaken in order to discover solitary and interactive effects of the parameters on model accuracy. Such a parameter study is necessarily time-consuming due to the huge number of combinations of the parameter values to be tested. In addition, the study has to be performed on various images, thereby increasing the overall investigation time. The performance of this first parallel implementation of a new hybrid model for image denoising is evaluated when the application is running on heterogeneous environments. The hybrid model is simulated on a general-purpose Linux cluster for which the parallel efficiency exceeds 96%. |
| Starting Page | 339 |
| Ending Page | 356 |
| Page Count | 18 |
| File Format | |
| ISSN | 09208542 |
| Journal | The Journal of Supercomputing |
| Volume Number | 57 |
| Issue Number | 3 |
| e-ISSN | 15730484 |
| Language | English |
| Publisher | Springer US |
| Publisher Date | 2010-03-26 |
| Publisher Place | Boston |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Dynamic load balancing algorithms Image processing Denoising Processor Architectures Programming Languages, Compilers, Interpreters Computer Science |
| Content Type | Text |
| Resource Type | Article |
| Subject | Theoretical Computer Science Information Systems Hardware and Architecture Software |
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