Abstract
In this paper, we propose a super-resolution (SR) reconstruction algorithm for Egyptsat-1 images. We recombine the lower resolution of Egyptsat-1 bands in order to obtain a super-resolution product. The algorithm is based on image fusion scheme using the multi-resolution decomposition. The fusion process is done in steerable wavelet domain using normalized convolution technique. We show the implementation of the proposed algorithm and how it can make significant spatial resolution improvements from 7.8 m to 4 m without amplifying the noise and allowing recognition of objects with size approaching its limiting spatial resolution. The experimental results and the comparative analyses using the Modulation Transfer Function (MTF) and other measures verify the usefulness and effectiveness of this algorithm.
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