Achieving Accurate Image Registration as the Basis for Super-Resolution
Douglas Lim · 2003
Crucial information barely visible to the human eye is often embedded in a series of low-resolution images taken of the same scene. Super-resolution enables the extraction of this information by reconstructing a single image, at a higherresolution than is present in any of the individual images. This is particularly useful in forensic imaging, where the extraction of minute details in an image can help solve a crime. The capturing of multiple low-resolution images taken of the same scene results in a distortion between each image. Image registration is the process of determining this distortion. This information is then used in the super-resolution process to create a set of simulated low-resolution images. The differences between these simulated images and the observed images are then used to iteratively update an initial estimate of the high-resolution image. Successful superresolution is dependent on accurate image registration. In this thesis, we examine the hypothesis that the visual quality of a reconstructed high-resolution image