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.
Evaluation of the impact of parallel image processing on the operational efficiency of the Earth remote sensing spacecraft control complex
