Academic Journal

PSNR BASED OPTIMIZATION APPLIED TO ALGEBRAIC RECONSTRUCTION TECHNIQUE FOR IMAGE RECONSTRUCTION ON A MULTI-CORE SYSTEM

التفاصيل البيبلوغرافية
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
الوصف
تدمد:20887051
25029274
DOI:10.21609/jiki.v10i2.449