Surface normal deblurring caused by conveyor movement for fast surface inspection

These days there are many real-time 3D measurement systems. Those method has finite exposure time, therefore the motion blur is inevitable in principle. We developed a motion deblurring technique in surface orientation images using a correlation image sensor for 1D movement by belt conveyor. This imaging system consists of two components; one is ring-shaped modulation illumination for encoding surface orientation into the amplitude and phase of the reflected light intensity, and the other is the three-phase correlation image sensor (3PCIS) for demodulating the amplitude and phase of reflected light. The higher spatial frequency components which is lost by motion are captured by modulation imaging using correlation image sensor. The reconstruction algorithm is proposed for modulation imaging picture which is complex value image representing surface orientation. We applied wiener filtering method, and then still normal vector image is successfully reconstructed.