A 21pJ/frame/pixel Imager and 34pJ/frame/pixel Image Processor for a Low-Vision Augmented-Reality Smart Contact Lens the duration of Φ1 in 4- and 6-bit modes while still meeting the PGA settling accuracy. The ADC sampling capacitor array embeds an analog offset subtraction technique to calibrate accumulated offset errors and adjust the pixel black level prior to signal quantization.

📋 论文概要

该论文提出了一种用于低视力增强现实智能隐形眼镜的超低功耗成像器和图像处理器。成像器在帧间空闲期间断电，实现了21pJ/frame/pixel的核心能耗，而图像处理器为34pJ/frame/pixel。同时利用累积像素输出进行环境光感知并调节显示亮度，解决了AR隐形眼镜的高能效成像与处理难题。

💡 主要创新点

• 通过帧间空闲期间彻底断电实现成像器能耗与帧率无关的平坦特性，显著降低平均功耗
• 设计累积像素输出模式，可同时用于渐进式图像读取或独立环境光传感，并据此动态调整显示亮度

🏷 关键词

📄 原文摘要

Figure 34.2.3 shows the imager characterization results. The core imager energy consumption per frame remains relatively flat across a wide range of frame rates. This is achieved by powering down the imager during idle periods between image captures. The imager can also provide an accumulated pixel output per frame, either in conjunction with progressive image readout or exclusively for ambient light sensing. The accumulated output is used to compute an ambient light level within the imager field of view, which is subsequently used to adjust the relative display brightness. For exclusive ambient sensing operation, sparse array sampling is performed to reduce readout time and hence power consumption. By utilizing a two-point correction across the three illuminance ranges, a linear response to ambient brightness is obtained from 0.05 lux to 260,000 lux. Mojo Vision, Saratoga, CA Over 253 million people worldwide suffer from permanent visual impairments (e.g.,

👥 作者与机构

Rituraj Singh, Stevo Bailey, Phillip Chang, Ashkan Olyaei, Mohammad Hekmat, Renaldi Winoto