Iterative Super Resolution Reconstruction from Multiple Images Using Cluster Computers

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.