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一种采用标准背照式工艺制造的3.0μm三增益像素的90dB以上场景内单曝光动态范围CMOS图像传感器。

An Over 90 dB Intra-Scene Single-Exposure Dynamic Range CMOS Image Sensor Using a 3.0 μm Triple-Gain Pixel Fabricated in a Standard BSI Process.

作者信息

Takayanagi Isao, Yoshimura Norio, Mori Kazuya, Matsuo Shinichiro, Tanaka Shunsuke, Abe Hirofumi, Yasuda Naoto, Ishikawa Kenichiro, Okura Shunsuke, Ohsawa Shinji, Otaka Toshinori

机构信息

Brillnics Japan Inc., 6-21-12 Minami-Oi, Shinagawa-ku, Tokyo 140-0013, Japan.

出版信息

Sensors (Basel). 2018 Jan 12;18(1):203. doi: 10.3390/s18010203.

Abstract

To respond to the high demand for high dynamic range imaging suitable for moving objects with few artifacts, we have developed a single-exposure dynamic range image sensor by introducing a triple-gain pixel and a low noise dual-gain readout circuit. The developed 3 μm pixel is capable of having three conversion gains. Introducing a new split-pinned photodiode structure, linear full well reaches 40 ke. Readout noise under the highest pixel gain condition is 1 e with a low noise readout circuit. Merging two signals, one with high pixel gain and high analog gain, and the other with low pixel gain and low analog gain, a single exposure dynamic rage (SEHDR) signal is obtained. Using this technology, a 1/2.7", 2M-pixel CMOS image sensor has been developed and characterized. The image sensor also employs an on-chip linearization function, yielding a 16-bit linear signal at 60 fps, and an intra-scene dynamic range of higher than 90 dB was successfully demonstrated. This SEHDR approach inherently mitigates the artifacts from moving objects or time-varying light sources that can appear in the multiple exposure high dynamic range (MEHDR) approach.

摘要

为了满足对适用于移动物体且伪像少的高动态范围成像的高需求,我们通过引入三增益像素和低噪声双增益读出电路,开发了一种单曝光动态范围图像传感器。所开发的3μm像素能够具有三种转换增益。引入新的分裂 pinned 光电二极管结构,线性满阱达到40ke。在最高像素增益条件下,使用低噪声读出电路时读出噪声为1e。将一个具有高像素增益和高模拟增益的信号与另一个具有低像素增益和低模拟增益的信号合并,可获得单曝光动态范围(SEHDR)信号。利用该技术,已开发并表征了一款1/2.7英寸、200万像素的CMOS图像传感器。该图像传感器还采用了片上线性化功能,可在60fps时产生16位线性信号,并成功展示了高于90dB的场景内动态范围。这种SEHDR方法从本质上减轻了多曝光高动态范围(MEHDR)方法中可能出现的移动物体或时变光源产生的伪像。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88e0/5796480/f5772b1bf5e8/sensors-18-00203-g001.jpg

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