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Characterization of pixel crosstalk and impact of Bayer patterning by quantum efficiency measurement

机译:量子效率测量表征像素串扰和拜耳图案的影响

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Development of small pixels for high resolution image sensors implies a lot of challenges. A high level of performance should be guaranteed whereas the overall size must be reduced and so the degree of freedom in design and process. One key parameter of this constant improvement is the knowledge and the control of the crosstalk between pixels. In this paper, we present an advance in crosstalk characterization method based on the design of specific color patterns and the measurement of quantum efficiency. In a first part, we describe the color patterns designed to isolate one pixel or to simulate un-patterned colored pixels. These patterns have been implemented on test-chip and characterized. The second part deals with the characterization setup for quantum efficiency. Indeed, the use of spectral measurements allows us to discriminate pixels based on the color filter placed on top of them and to probe the crosstalk as a function of the depth in silicon, thanks to the photon absorption length variation with the wavelength. In the last part, results are presented showing the impact of color filters patterning, i.e. pixels in a Bayer pattern versus un-patterned pixels. The crosstalk directions and amplitudes are also analyzed in relation to pixel layout.
机译:开发用于高分辨率图像传感器的小像素意味着很多挑战。应该保证较高的性能,而必须减小整体尺寸,因此设计和工艺的自由度要高。不断改进的一个关键参数是像素之间串扰的知识和控制。在本文中,我们提出了一种基于特定颜色图案设计和量子效率测量的串扰表征方法。在第一部分中,我们描述了设计用于隔离一个像素或模拟未图案化的彩色像素的颜色图案。这些模式已经在测试芯片上实现并得到了表征。第二部分介绍了量子效率的表征设置。实际上,由于光子吸收长度随波长的变化,光谱测量的使用使我们能够基于放置在像素顶部的滤色器来区分像素,并检测串扰作为硅深度的函数。在最后一部分中,给出了显示滤色器图案化(即,拜耳图案中的像素与未图案化的像素)的影响的结果。还针对像素布局分析了串扰方向和幅度。

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