Image Sensor System With Bio-Inspired Efficient Coding and Adaptation
Image Sensor System With Bio-Inspired Efficient Coding and Adaptation
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DOI：
10.1109/tbcas.2012.2185048
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发表时间：
2012-02
影响因子：
5.1
通讯作者：
H. Okuno;T. Yagi
中科院分区：
文献类型：
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作者：
H. Okuno;T. Yagi
我们设计并实现了一个图像传感器系统，配备了三个生物启发的编码和自适应策略：对数变换，局部平均减法和反馈增益控制。该系统包括现场可编程门阵列（FPGA），电阻网络，和有源像素传感器（APS），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的APS，以实现多个对数强度-电压特性，这是控制，使得输出图像的熵最大化。该系统还采用局部平均减法和增益控制，以获得具有适当对比度的图像。局部平均值由电阻网络瞬时计算。所设计的系统被成功地用于获得适当的图像的对象，受到大的变化，在照明。
We designed and implemented an image sensor system equipped with three bio-inspired coding and adaptation strategies: logarithmic transform, local average subtraction, and feedback gain control. The system comprises a field-programmable gate array (FPGA), a resistive network, and active pixel sensors (APS), whose light intensity-voltage characteristics are controllable. The system employs multiple time-varying reset voltage signals for APS 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 local average is calculated by the resistive network instantaneously. The designed system was successfully used to obtain appropriate images of objects that were subjected to large changes in illumination.