Academic Journal
PSNR BASED OPTIMIZATION APPLIED TO ALGEBRAIC RECONSTRUCTION TECHNIQUE FOR IMAGE RECONSTRUCTION ON A MULTI-CORE SYSTEM
| العنوان: | PSNR BASED OPTIMIZATION APPLIED TO ALGEBRAIC RECONSTRUCTION TECHNIQUE FOR IMAGE RECONSTRUCTION ON A MULTI-CORE SYSTEM |
|---|---|
| المؤلفون: | Bharathi Lakshmi Agnimarimuthu, Christopher Durairaj Daniel Durairaj |
| المصدر: | Jurnal Ilmu Komputer dan Informasi, Vol 10, Iss 2, Pp 86-95 (2017) |
| بيانات النشر: | Universitas Indonesia, 2017. |
| سنة النشر: | 2017 |
| المجموعة: | LCC:Electronic computers. Computer science |
| مصطلحات موضوعية: | Image Processing, Image Reconstruction, Iterative Image Reconstruction, Algebraic Reconstruction Technique, Parallel Processing, OpenMP, Electronic computers. Computer science, QA75.5-76.95 |
| الوصف: | The present work attempts to reveal a parallel Algebraic Reconstruction Technique (pART) to reduce the computational speed of reconstructing artifact-free images from projections. ART is an iterative algorithm well known to reconstruct artifact-free images with limited number of projections. In this work, a novel idea has been focused on to optimize the number of iterations mandatory based on Peak to Signal Noise Ratio (PSNR) to reconstruct an image. However, it suffers of worst computation speed. Hence, an attempt is made to reduce the computation time by running iterative algorithm on a multi-core parallel environment. The execution times are computed for both serial and parallel implementations of ART using different projection data, and, tabulated for comparison. The experimental results demonstrate that the parallel computing environment provides a source of high computational power leading to obtain reconstructed image instantaneously. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English Indonesian |
| تدمد: | 2088-7051 2502-9274 |
| Relation: | http://jiki.cs.ui.ac.id/index.php/jiki/article/view/449; https://doaj.org/toc/2088-7051; https://doaj.org/toc/2502-9274 |
| DOI: | 10.21609/jiki.v10i2.449 |
| URL الوصول: | https://doaj.org/article/d0bac8064af14805a5d7f895b102e225 |
| رقم الانضمام: | edsdoj.0bac8064af14805a5d7f895b102e225 |
| قاعدة البيانات: | Directory of Open Access Journals |
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