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CMOS Image Sensors: Two-Dimensional MTF for Anisotropic Resolution Characterization

机译:CMOS图像传感器:用于各向异性分辨率表征的二维MTF

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摘要

In this paper, the meaning and appropriateness of complementary metal-oxide-semiconductor image sensor (CIS) modulation transfer function (MTF) is reconsidered. Two-dimensional (2-D) submicrometer spot scanning results are presented for industrial CIS, 2-D-MTF, characterizing CIS performance and resolution abilities is extracted and compared with the ideal one-dimensional (1-D) MTF profile estimation calculated for all spatial frequencies. "Inter" and "intra" pixel MTFs emphasizing pixel structure dependencies are defined. The domain of applicability of traditional 1-D sensor characterization methods is shown to be ambiguous and insufficient for modern anisotropic CIS designs, resembling the inability to account for the sensor internal structural effects. Furthermore, it was shown that 2-D characterization provides reliable information and enables better understanding and the most accurate description of device performance. In addition, the advantages (over the commonly referred 1-D-MTF) and necessities of 2-D-MTF are verified experimentally and clearly demonstrated in this paper
机译:本文重新考虑了互补金属氧化物半导体图像传感器(CIS)调制传递函数(MTF)的含义和适用性。给出了用于工业CIS,2-D-MTF的二维(2-D)亚微米点扫描结果,表征了CIS性能和分辨能力,并将其与为计算出的理想一维(1-D)MTF轮廓估计值进行了比较所有空间频率。定义了强调像素结构相关性的“内部”和“内部”像素MTF。传统的一维传感器表征方法的适用范围被证明是模棱两可的,不足以用于现代各向异性CIS设计,类似于无法解决传感器内部结构效应的问题。此外,还显示了二维表征可提供可靠的信息,并能更好地理解和最准确地描述设备性能。另外,通过实验验证了2-D-MTF的优点(相对于通常所说的1-D-MTF)和必要性,并在本文中清楚地证明了这一点。

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