Mobile imagers now possess multi-megapixel sensors. Blur caused by camera motion during the exposure is becoming
more pronounced because the exposure time for the smaller pixel sizes has been increased to attain the same photon
We present a method of measuring human hand-eye coordination for mobile imagers. When trying to hold a steady
position, the results indicate that there is a distinct linear-walk motion and a distinct random-walk motion while no
panning motion is intended. By using the video capture mode, we find that the frame to frame variation is typically less
than 2.5 pixels (0.149 degrees). An algorithm has been devised which permits the camera to determine in real-time
when is the optimum moment to for the exposure to begin to best minimize motion blur.
We also observed the edge differences in fully populated "direct" image sensors and Bayer pattern sensors. Because
dominant horizontal and vertical linear motions are present, chromatic shifts are observed in the Bayer sensor in the
direction of motion for certain color transitions.