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Simple intra-pixel interaction for smart CMOS image sensors

机译:智能CMOS图像传感器的简单映射式交互

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This paper is focused on our recent results on the used of local pixel interactions. We show results obtained on smart vision chips with the help of the mean value computation of small pixels block. Technical details on the implementation of this computation will be done. Then, we will focus on vision chips dedicated to the improvement of the input dynamic range (HDR sensor) using a bio-inspired law close to a light adaptive Gamma curve and a smart management of the pixel integration time. We show the use of these local mean values in order to minimize temporal redundancies in a flow of images. This technique reduces the power consumption for a constant frame rate (due to the reduced number of read and converted pixels) or improves the average frame rate of the imager. Finally, we will expose a very interesting alternative dedicated to a very efficiency compression coder dedicated to image wireless sensor network.
机译:本文专注于我们最近的局部像素相互作用的结果。我们在智能视觉芯片上展示了小像素块的平均值计算来获得的结果。有关实现此计算的技术详细信息将进行完成。然后,我们将专注于使用靠近光自适应伽马曲线的生物启发法和像素集成时间的智能管理,专注于致力于改进输入动态范围(HDR传感器)的视觉芯片。我们展示了这些本地平均值的使用,以便在图像流中最小化时间冗余。该技术降低了恒定帧速率的功耗(由于读取和转换的像素的数量减少)或提高成像器的平均帧速率。最后,我们将公开一个非常有趣的替代方案,专用于专用于图像无线传感器网络的非常效率的压缩编码器。

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