A retinomorphic integrated vision sensor with adaptive sensitivity and spatial filtering

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We designed and implemented an image sensor system equipped with three bio-inspired coding and adaptation strategies. The system includes a field-programmable gate array(FPGA), a resistive network, and photosensors, whose light intensity-voltage characteristics are controllable. The system employs multiple time-varying reset voltage signals for photosensors in order to realize multiple logarithmic intensity-voltage characteristics, which are controlled so that the entropy of the output image is maximized. The system also employs local average subtraction and gain control in order to obtain images with an appropriate contrast. The designed system was successfully used to obtain appropriate images of objects that were subjected to large changes in illumination.