Maha Heng Li and Marinka Yu, Zhang Department of Biomedical Informatics, Harvard Medical School, Boston, USA.
International Journal of Advanced Information and Communication Technology
Received On : 10 March 2021
Revised On : April 2021
Accepted On : 03 May 2021
Published On : 05 July 2021
Volume 08, Issue 07
Pages : 132-140
Abstract
The main purpose of digitalized image processing is to enhance the quality of images and subsequently to facilitate the process of feature classification and extraction. This process is effectively utilized in healthcare imaging, computer visioning, astronomy, meteorology, and remote sensing among other essential fields. The main issue is that this technique takes a lot of time even though it provides convenient and efficient means of addressing the prevailing issue. In this paper, we shall provide a comparative evaluation of the present contributions adding to the application of parallel image processing including their limitations and benefits. Another key segment of research in this paper is to evaluate parallel computing, presently available techniques, tools and architecture in different image processing applications. As such, this paper is purposed to critically evaluate the role of parallel imaging in the field of healthcare imaging.
Keywords
Parallel Image Processing (PIP); Graphic Processing Unit (GPU); Healthcare Imaging; High Performance Computing (HPC).
Cite this article
Maha Heng Li and Marinka Yu, “Computational Benefits, Limitations and Techniques of Parallel Image Processing, ” INTERNATIONAL JOURNAL OF ADVANCED INFORMATION AND COMMUNICATION TECHNOLOGY, pp. 132-140, July. 2021.
Copyright
© 2021 Maha Heng Li and Marinka Yu. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.