像素
计算机科学
降级(电信)
CMOS芯片
图像传感器
灵敏度(控制系统)
滤波器(信号处理)
信噪比(成像)
堆栈(抽象数据类型)
图像分辨率
信号(编程语言)
电子工程
噪音(视频)
光学滤波器
人工智能
计算机视觉
图像(数学)
材料科学
光电子学
工程类
电信
程序设计语言
作者
Hye Yeon Park,Yunki Lee,Jonghoon Park,Hyunseok Song,Tae-Sung Lee,Hyung Keun Gweon,Yunji Jung,Jeongmin Bae,Boseong Kim,Junwon Han,Seungwon Kim,Cheolsang Yoon,Jeongki Kim,Changkeun Lee,Sehoon Yoo,Euiyeol Kim,Hyunmin Baek,Howoo Park,Bum Suk Kim,Jin-Hyun Ahn,JoonSeo Yim
标识
DOI:10.1109/vlsitechnologyandcir46769.2022.9830428
摘要
Smaller pixels with high resolution are widely used for CMOS image sensor (CIS) and it needs technologies to reduce the size of the chips while performance or quality of image is even more enhanced. However, the decrease in pixel size inevitably causes degradation of optical properties. In this paper, we introduce a new technique to improve the sensitivity and signal-to-noise ratio (SNR) by using new color filter material and optical structure which is necessary to implement high resolution. These development of new optical pixel structures are able to overcome the degradation of characteristics resulting from pixel shrink and guarantee the possibility of pixel shrink in the future.
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