A Novel approach to super resolution image reconstruction algorithm from low resolution panchromatic images

A Novel super resolution reconstruction algorithm from several low resolution images is proposed in this paper. Conventional super resolution image reconstruction techniques degrade the fidelity of the original digital image by populating a smaller portion of the available range of digital values with low pixel density, introducing noise in the reconstruction. The proposed system applies two stage decomposition of Discrete Wavelet Transform and combines the non-redundant information contained in multiple low-resolution images with different sub pixel shifts to produce more precise detailed information delivering high pixel density to generate a high-resolution image. Experimental results demonstrate high quality recovery of the image with better quantitative measures.