Shift-invariant imaging of photon-limited data using bispectral analysis

Abstract A method is discussed how to avoid motion blur if an object is detected at low light levels. We apply bispectral analysis to a series of short exposures, which are randomly shifted with respect to each other and which are deteriorated by simulated photon noise. Similar techniques can be applied to other fields of signal and image processing.