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Simple intra-pixel interaction for smart CMOS image sensors

机译:智能CMOS图像传感器的简单像素内交互

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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:本文的重点是我们在使用局部像素交互方面的最新结果。我们借助小像素块的平均值计算显示了在智能视觉芯片上获得的结果。将完成有关此计算实施的技术细节。然后,我们将重点关注视觉芯片,该芯片使用接近光自适应Gamma曲线的生物启发定律和像素积分时间的智能管理来致力于改善输入动态范围(HDR传感器)。我们展示了使用这些局部平均值以最小化图像流中的时间冗余。该技术可减少恒定帧速率下的功耗(由于减少了读取和转换后的像素数量)或提高了成像器的平均帧速率。最后,我们将展示一个非常有趣的替代方案,专用于图像无线传感器网络专用的高效压缩编码器。

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