Digital CDS for image sensors with dominant white and 1/f noise
Digital CDS for image sensors with dominant white and 1/f noise
复制标题
用于具有主要白噪声和 1/f 噪声的图像传感器的数字 CDS
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
K. Stefanov
中科院分区：
文献类型：
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作者：
K. Stefanov
本文研究了数字相关双采样（DCDS）处理存在白噪声和1/f噪声的图像传感器信号的性能。将DCDS与双斜率积分器进行了比较，双斜率积分器是仅存在白噪声时的最佳模拟处理技术。基于匹配滤波器的概念，推导并探索了1/f噪声占主导地位的信号的最优信号处理算法，从而实现最高的信噪比（SNR）。给出并讨论了基于最优DCDS的人工产生1/f噪声信号的实验结果，以及该方法在更真实的传感器信号中的局限性。结果表明，最优DCDS的噪声水平可以接近理论最小值。
This paper investigates the performance of digital correlated double sampling (DCDS) for processing of image sensor signals in the presence of white and 1/f noise. The DCDS is compared with the dual slope integrator, which is the optimal analogue processing technique when only white noise is present. Based on the concept of matched filters, the paper derives and explores the optimal signal processing algorithms for signals with dominant 1/f noise, resulting in the highest achievable signal-to-noise ratio (SNR). Experimental results based on optimal DCDS on artificially generated 1/f noise signals are presented and discussed, together with the limitations of the method for more realistic sensor signals. It is shown that the noise level of the optimal DCDS can get close to the theoretical minimum.