A retinomorphic integrated vision sensor with adaptive sensitivity and spatial filtering

我们设计并实现了一个配备了三种仿生编码和自适应策略的图像传感器系统。该系统包括一个现场可编程门阵列（FPGA）、一个电阻网络和光传感器，其光强电压特性是可控的。该系统采用多个时变复位电压信号，实现光传感器的多重对数强度电压特性，并对其进行控制，使输出图像的熵最大化。该系统还采用了局部平均减法和增益控制，以获得具有适当对比度的图像。所设计的系统成功地用于获得受光照大变化的物体的适当图像。

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.