A Stacked Global-Shutter CMOS Imager with SC-Type Hybrid-GS Pixel and Self-Knee Point Calibration SingleFrame HDR and On-Chip Binarization Algorithm for Smart Vision Applications

📋 论文概要

该论文提出了一种堆叠式全局快门CMOS图像传感器，采用SC型混合GS像素和自拐点校准单帧HDR技术，解决了传统电荷域存储栅极实现中光泄漏严重、快门效率低的问题，适用于人脸识别、VR/AR、3D成像和AI等智能视觉应用。

💡 主要创新点

• 提出SC型混合全局快门像素结构，结合电荷域和电压域存储优势，提高快门效率并减少光泄漏。
• 引入自拐点校准单帧高动态范围技术，无需多帧合成即可实现HDR成像，降低运动伪影。
• 采用堆叠式工艺设计，将像素阵列与逻辑电路垂直集成，提升填充因子和整体性能。

🏷 关键词

📄 原文摘要

Wenjie Shi2, Jinjian Hou2, Ke Shao2, Haojie Wang2, Pengge Xiao2, Zexu Shao2, Xiao Xie1, Xiaoyong Wang1, Chris Yiu1 SmartSens Technology, San Jose, CA SmartSens Technology, Shanghai, China 1 2 Request for smart vision related applications, such as face identification, VR/AR, gesture recognition, 3D imaging, and artificial intelligence (AI), has driven demand for high-performance global-shutter (GS) sensors. Most commercially available GS sensors use a charge-domain storage gate implementation, which suffers from serious light leakage and leads to lower shutter efficiency. This situation worsens when using a BSI fabrication process [1]. In addition, the traditional frame-based or line-based HDR method utilizing multiple exposures adds motion artifact to fastmoving objects, which defeats the purpose of having a global shutter. Moreover, some smart vision applications such as QR 2D barcode scanners and 3D facial

👥 作者与机构

Chen Xu1, Yaowu Mo1, Guanjing Ren2, Weijian Ma2, Xin Wang1,