# An Area-Efficient Readout Circuit for a High-SNR Triple-Gain LOFIC CMOS Image Sensor

**Authors:** Ai Otani, Hiroaki Ogawa, Ken Miyauchi, Yuki Morikawa, Hideki Owada, Isao Takayanagi, Shunsuke Okura

PMC · DOI: 10.3390/s25196093 · Sensors (Basel, Switzerland) · 2025-10-02

## TL;DR

This paper introduces a more efficient readout circuit for a high-performance image sensor that improves image quality and reduces noise.

## Contribution

The novel triple-gain LOFIC CIS readout circuit uses amplifier and capacitor sharing to improve SNR and reduce area overhead.

## Key findings

- The proposed readout circuit achieved an 8.05 dB improvement in SNR drop at the gain switching point.
- The area overhead of the new circuit was only 7.6%.
- The circuit was fabricated using a 0.18μm CMOS process.

## Abstract

A lateral overflow integration capacitor (LOFIC) CMOS image sensor (CIS) can achieve high-dynamic-range (HDR) imaging by combining a low-conversion-gain (LCG) signal with a high-conversion-gain (HCG) signal. However, the signal-to-noise ratio (SNR) drops at the switching point from HCG signal to LCG signal due to the significant pixel noise in the LCG signal. To address this issue, a triple-gain LOFIC CIS with a middle-conversion-gain (MCG) signal has been introduced. In this work, we propose an area-efficient readout circuit for the triple-gain LOFIC CIS, using amplifier and capacitor sharing techniques to process the HCG, MCG, and LCG signals. A test chip of the proposed readout circuit was fabricated using the 0.18μm CMOS process. The area overhead was only 7.6%, and the SNR drop was improved by 8.05 dB compared to the readout circuit for a dual-gain LOFIC CIS.

## Full-text entities

- **Genes:** CISH (cytokine inducible SH2 containing protein) [NCBI Gene 1154] {aka BACTS2, CIS, CIS-1, G18, SOCS}
- **Diseases:** injury to (MESH:D014947)
- **Chemicals:** HCG (-)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

9 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12526854/full.md

## References

32 references — full list in the complete paper: https://tomesphere.com/paper/PMC12526854/full.md

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Source: https://tomesphere.com/paper/PMC12526854