We apply a novel computational technique known as the map-seeking circuit algorithm to
estimate the motion of the retina of eye from a sequence of frames of data from a scanning
laser ophthalmoscope. We also present a scheme to dewarp and co-add frames of retinal
image data, given the estimated motion. The motion estimation and dewarping techniques
are applied to data collected from an adaptive optics scanning laser ophthalmoscopy.