Interpolation for super resolution imaging

Abstract

High Resolution (HR) means pixel density within image is high. Along with pleasing picture, the high resolution image offers additional information that may be vital in analyzing image precisely in applications like, military, medical imaging, consumer electronics and so forth. Super resolution image reconstruction is used to restore a high resolution image from several low resolution images. Super resolution image reconstruction is three stage process: Registration, Interpolation and Restoration. In this paper we suggest a wavelet based interpolation that decomposes image into correlation based subspaces and then interpolate each one of them independently. Finally combine these subspaces back to get the high resolution image. We propose it for super resolution imaging along with results to put forth that it produces best results qualitatively analyzed using subjective quality measure. The concepts related to super resolution imaging; interpolation and wavelet are covered as background theory. © 2007 Springer.