Iterative Super Resolution Reconstruction from Multiple Images Using Cluster Computers

N. Adar, E. Seke, C. Kandemir, K. Ozkan
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Abstract

Image processing applications, although not very obvious to be easily noticed, find their way into our daily life in almost every field. Many military, medical and commercial applications aim for high resolution images, however the resolution of the image sensors continue to be main limiting obstacle in front. The solution is to develop techniques for creation of a singe high resolution and high quality picture using multiple low resolution images. In order to achieve high performance, the proposed technique that outputs a high resolution images using predetermined number of low resolution images is implemented on cluster computers. It is shown that proposed parallel algorithm is reduced the overall serial execution time by the number of processor.
基于集群计算机的多幅图像迭代超分辨率重建
图像处理的应用,虽然不是很明显,很容易被注意到,但在我们日常生活的几乎每个领域都找到了他们的方式。许多军事、医疗和商业应用的目标是高分辨率图像,但图像传感器的分辨率仍然是摆在面前的主要限制障碍。解决方案是开发使用多个低分辨率图像创建单个高分辨率和高质量图像的技术。为了实现高性能,在集群计算机上实现了使用预定数量的低分辨率图像输出高分辨率图像的技术。结果表明,所提出的并行算法通过处理器数量减少了总体串行执行时间。
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