Resolution enhancement using parallel computing

High resolution digital imaging has been one of the most important developments in image processing over last decade. Constructing high resolution image using one or more shifted low resolution images of same scene is referred as super resolution imaging. Super resolution imaging involves registering the input low resolution images and then interpolation to construct high resolution image. Appropriate interpolation plays an important role in super resolution imaging. Wavelet transform has come up as proven valuable tool for super resolution imaging along with other image processing applications. In this paper we have addressed the use and computational cost of wavelets. We take in hand grid based parallel implementation of wavelet based interpolation and put forward for super resolution imaging as a promising solution to speed up the super resolution imaging process. Simulation results support the claim of four time faster interpolation as compared to conventional methods along with good quality.