IMAGE RECONSTUCTION USING MULTIPLE IMAGE RESOLUTION

Abstract

Image super resolution reconstruction is used for the rearranging of image resolution using single
image. The reconstruction is related between low resolution and high resolution of the image. If it is
impossible to get the image with required resolution, we can acquire using the same scene of images
at low resolution to get the required image. Recently, we have seen the development made in single
image super resolution using deep neural networks to get the relation between low and high
resolution. Mostly, deep learning is not used in the multiple image super resolution technique. Deep
learning is the process which is used to combine the information and helps to get the high
reconstruction values. We are going to introduce a new method that which combines the multiple
image with the low to high resolution learning by using deep neural networks.