Dual-Port CMOS Image Sensor with Regression-Based HDR Flux-to-Digital Conversion and 80ns Rapid-Update Pixel-Wise Exposure Coding

📋 论文概要

提出了一种双端口CMOS图像传感器，通过基于回归的HDR通量到数字转换和80ns快速更新逐像素曝光，解决了传统后处理HDR在快速运动和变化照明场景下的失效问题。

💡 主要创新点

• 提出双端口像素架构，实现同时读出和快速曝光控制。
• 采用基于回归的通量到数字转换，实现高动态范围成像。
• 实现80ns快速更新逐像素曝光，适应快速变化场景。

🏷 关键词

📄 原文摘要

Motasem A. Sakr, Xiaonong Sun, David B. Lindell, Kiriakos N. Kutulakos, Roman Genov University of Toronto, Toronto, Canada Today’s best consumer cameras typically use computational imaging techniques to digitally enhance images by means of software post-processing to yield both high fidelity and low cost. A common technique, for example, is to combine multiple shots with different camera settings into one enhanced image that has a high dynamic range (HDR). This post-processing-based approach fails when fast motion and/or rapidly changing illumination are present, as often happens in autonomous driving, drone imaging, and action-camera applications, or when the illumination itself is actively controlled (e.g., for depth sensing). These applications require a much tighter temporal integration of: (1) in-pixel processing, (2) pixel readout, and (3) post-capture enhancement. Aiming to address these needs, a new class of ‘coded’ computational image sensors has emerged,

👥 作者与机构

Rahul Gulve, Roberto Rangel, Ayandev Barman, Don Nguyen, Mian Wei,