Improving Phase Correlation for Image Registration

Phase correlation is a well-known technique for image registration that is robust to noise and operates in constant time. Scale and rotation invariance can be achieved through means of a log-polar transformation. Unfortunately this method has been historically shown to be unable to handle large rotation or scaling factors, making it unsuitable for many image registration tasks. This paper presents a novel phase correlation based technique that is shown to outperform the current state of the art image registration methods in terms of being able to recover larger rotation and scaling factors and with reduced computational requirements.