Single Image Super Resolution: Edge Based Techniques

Abstract

Super-resolution image reconstruction provides an effective way to increase image resolution from a single or multiple low resolution images. There exists various single image super-resolution based on different assumptions, amongst which edge adaptive algorithms are particularly used to enhanced the accuracy of the interpolation characterizing the edge features in a larger region. A recent algorithm for image iterative curvature based interpolation (ICBI) performs iterative procedure of the interpolated pixels obtained by the 2^nd order directional derivative of the image intensity. ICBI as compared with bicubic interpolation and also the alternative interpolation formula like improved new edge directed interpolation (INEDI) provides notably higher values in terms of qualitative and chemical analysis. Comparative analysis of those algorithms performed on range of take a look at pictures on the premise of PSNR and RMSE metrics show effectiveness of edge based mostly techniques.