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Pixel Cross-talk Compensation for CMOS Image Sensors

机译:CMOS图像传感器的像素串扰补偿

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摘要

A new algorithm for removing pixel cross-talk effect in CMOS image sensors with Bayer color filter array is proposed. With the assumption that color differences within small neighbors of an image is constant, the algorithm uses the R or B components of raw data to compensate the adjacent G component before color interpolation in order to eliminate the effects that R component interferes with Gr and B component interferes with Gb. The algorithm has low computational complexity. By simulation experimentation on Macbeth color chart and real images, the algorithm is proved to be effective and produces better quality images with conventional color interpolation methods. Finally, the paper design its VLSI frame and validates it with FPGA. The results of test indicate that the algorithm uses fewer hardware resources and can work in real-time completely.
机译:提出了一种利用拜耳彩色滤光片阵列消除CMOS图像传感器像素串扰的新算法。假设图像的小邻居内的色差是恒定的,该算法使用原始数据的R或B分量在颜色插值之前补偿相邻的G分量,以消除R分量干扰Gr和B分量的影响干扰Gb。该算法具有较低的计算复杂度。通过对Macbeth彩色图表和真实图像的仿真实验,证明该算法是有效的,并且可以使用常规的颜色插值方法生成质量更好的图像。最后,本文设计了其VLSI框架并通过FPGA对其进行了验证。测试结果表明,该算法使用的硬件资源较少,可以完全实时地工作。

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