← 返回 JSSC 论文列表JSSC 2019第11期Data Converters0.13µmCMOS Image Sensor
A Data-Compressive 15275-bit Log-Gradient QVGA Image Sensor With Multi-Scale Rea
一种面向低功耗物体检测的QVGA图像传感器，采用对数梯度压缩技术，显著降低数据量和能耗。
0.13µm CIS工艺, 4-T 5µm像素, 99pJ/像素
对数梯度压缩QVGA图像传感器HOG特征低功耗物体检测
▸采用1.5或2.75位对数梯度压缩技术，减少25倍数据量
▸列并行读出与模拟循环行缓冲器实现多尺度像素合并
▸基于电容分压的比率数字转换器(RDC)实现对数梯度数字化
Abstract
This article presents an application-optimized
QVGA image sensor for low-power, always-on object detection
using histograms of oriented gradients (HOG). In contrast to con-
ventional CMOS imagers that feature linear and high-resolution
ADCs, our readout scheme extracts logarithmic intensity gradi-
ents at 1.5 or 2.75 bits of resolution. This eliminates unnecessary
illumination-related data and allows the HOG feature descriptors
t ob ec o m p r e s s e db yu pt o2 5× relative to a conventional 8-