Calculating Global Overlap Windows in Sequential Row Readout Image Sensors
Calculate global overlap by subtracting array readout time from total exposure; fire external illumination within this window to emulate global shuttering.
Motion Blur Suppression
Image Correction
Techniques designed to reduce the streaking or loss of detail that occurs when an object moves relative to the sensor during the integration period preserve the clarity of high speed data. The motion blur suppression improves the sharpness of edges by limiting the time the sensor collects light or by using specialized algorithms. Industrial inspection systems rely on these methods to identify fast moving parts on a production line.
Strobe Synchronization
Flashing a high intensity light source for a duration much shorter than the sensor exposure time freezes the movement of the target. This hardware based motion blur suppression ensures that the object only appears in one set of pixel locations. The timing of the pulse must be precisely aligned with the shutter opening.
Shutter Speed
Reducing the integration time decreases the distance an object travels while the gate is open. While this cut in time prevents smearing, it also reduces the amount of light reaching the sensor which necessitates a higher gain or a wider lens aperture. Balancing exposure and motion blur suppression requires a trade off between noise and sharpness.
Mathematical Restoration
Mathematical models can estimate the path of the movement and deconvolve the blurred signal to recover lost detail. This software approach works best when the direction and speed of the motion are constant.