Research on CMOS image sensor based on circuit model simulation

This paper presents a detailed study of the design, simulation, and analysis of a CMOS image sensor, focusing on a 3T active pixel sensor (APS) readout circuit and a 3x3 pixel array. Utilizing SPICE simulations, this paper meticulously investigates the sensor's response to varying light intensities and assesses its performance in capturing high-resolution, low-noise images. The research introduces a novel approach for image reconstruction from voltage signals, employing Excel-based simulation to visualize the sensor's output and evaluate its effectiveness. Our findings demonstrate the 3T APS architecture's potential to deliver superior image quality, highlighting its suitability for diverse imaging applications. The analysis of the 3T active pixel circuit simulation results reveal critical insights into the circuit's phototransduction efficacy and temporal response characteristics. The simulation output of the 3x3 pixel array circuit further delineates the performance of the APS with precision, indicating a high charge transfer efficiency and effective reset mechanism. The Excel visualization provides a binary image with stark contrast, reinforcing the sensor's potential in applications requiring binary decision-making. This study contributes significantly to the field of CMOS image sensor technology, offering a scientific and practical perspective on the development of next-generation sensors for applications in consumer electronics, automotive, and medical imaging. The research provides valuable insights into the sensor's operational dynamics and performance characteristics, paving the way for future advancements in sensor technology.

Authors

Institutions

Publication Details

Published
2024-12-11
DOI
https://doi.org/10.1117/12.3052277
Primary Topic
CCD and CMOS Imaging Sensors
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on CMOS image sensor based on circuit model simulation

Xiaoyang Liu
CCD and CMOS Imaging Sensors
article

Research on CMOS image sensor based on circuit model simulation

Xiaoyang Liu
article en

Abstract

This paper presents a detailed study of the design, simulation, and analysis of a CMOS image sensor, focusing on a 3T active pixel sensor (APS) readout circuit and a 3x3 pixel array. Utilizing SPICE simulations, this paper meticulously investigates the sensor's response to varying light intensities and assesses its performance in capturing high-resolution, low-noise images. The research introduces a novel approach for image reconstruction from voltage signals, employing Excel-based simulation to visualize the sensor's output and evaluate its effectiveness. Our findings demonstrate the 3T APS architecture's potential to deliver superior image quality, highlighting its suitability for diverse imaging applications. The analysis of the 3T active pixel circuit simulation results reveal critical insights into the circuit's phototransduction efficacy and temporal response characteristics. The simulation output of the 3x3 pixel array circuit further delineates the performance of the APS with precision, indicating a high charge transfer efficiency and effective reset mechanism. The Excel visualization provides a binary image with stark contrast, reinforcing the sensor's potential in applications requiring binary decision-making. This study contributes significantly to the field of CMOS image sensor technology, offering a scientific and practical perspective on the development of next-generation sensors for applications in consumer electronics, automotive, and medical imaging. The research provides valuable insights into the sensor's operational dynamics and performance characteristics, paving the way for future advancements in sensor technology.

Xidian University (CN)
Openalex Percentile: Top 80%
CCD and CMOS Imaging Sensors
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.