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| Content Provider | Springer Nature Link |
|---|---|
| Author | Humayun, Jawad Malik, Aamir Saeed |
| Copyright Year | 2013 |
| Abstract | An increase in the number of frames and computational complexity of the focus measure causes the shape-from-focus (SFF) method to become time consuming and occupy a lot of memory. As such, these factors become a limitation for using SFF techniques in real-time applications. However, the computational time can be significantly reduced using a parallel implementation of these methods on multiple cores. In this article, various SFF methods are compared in a parallel computing environment. The intent of this research is to analyze the speedup of various focus-measuring methods using a different number of cores to determine the optimal number of cores required for SFF applications. |
| Starting Page | 49 |
| Ending Page | 62 |
| Page Count | 14 |
| File Format | |
| ISSN | 18618200 |
| Journal | Journal of Real-Time Image Processing |
| Volume Number | 11 |
| Issue Number | 1 |
| e-ISSN | 18618219 |
| Language | English |
| Publisher | Springer Berlin Heidelberg |
| Publisher Date | 2013-01-10 |
| Publisher Place | Berlin, Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Parallel computing Shape-from-focus Focus measure Depth map Speedup performance Single program multiple data Image Processing and Computer Vision Multimedia Information Systems Computer Graphics Pattern Recognition Signal, Image and Speech Processing |
| Content Type | Text |
| Resource Type | Article |
| Subject | Information Systems |
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