Super Resolution Image Reconstruction using Frequency Spectrum

Super resolution image reconstruction is defined as generating a high resolution image from a low resolution image or sequence of low resolution images captured from identical scene apparently a video. An algorithm for reconstructing a high resolution image from a low resolution image by altering the frequency components is discussed in this paper. In this method the high frequency components of the zoomed low resolution image is modified so as to increase the resolution of the low resolution image. The evaluation for the experiments is based on the performance measure matrix peak signal to noise ratio. The experimental results shown proves that the algorithm is highly advantageous and computationally fast compared to the other interpolation methods. The algorithm will be helpful in practical applications of medical imaging diagnosis, remote sensing and military applications.