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Correction: Jun, J. A Comprehensive Methodology for Optimizing Read-Out Timing and Reference DAC Offset in High Frame Rate Image Sensing Systems. <i>Sensors</i> 2023, <i>23</i>, 7048.

Sensors (Basel, Switzerland)·2023
Same author

A Comprehensive Methodology for Optimizing Read-Out Timing and Reference DAC Offset in High Frame Rate Image Sensing Systems.

Sensors (Basel, Switzerland)·2023
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Related Experiment Video

Updated: Jan 29, 2026

Design and Characterization Methodology for Efficient Wide Range Tunable MEMS Filters
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Advancements in Active-Pixel-Type CMOS Image Sensor Design Techniques and Architectures for Wide Dynamic Range.

Sangwoong Sim1, Jaehoon Jun1

  • 1Department of Electrical and Computer Engineering and Program in Semiconductor Convergence, Inha University, Incheon 22212, Republic of Korea.

Sensors (Basel, Switzerland)
|January 28, 2026
PubMed
Summary

This study explores advanced CMOS image sensor (CIS) designs for wide dynamic range (WDR) imaging. It details techniques like dual conversion gain and novel architectures to enhance light intensity capture for diverse industrial applications.

Keywords:
CMOS image sensor (CIS)correlated multiple sampling (CMS)dual conversion gain (DCG)dual photodiode (PD)dynamic range (DR)lateral overflow integration capacitor (LOFIC)linear responselinear–logarithmic (Lin-Log) responselogarithmic responsemultiple exposure

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Area of Science:

  • Electrical Engineering
  • Computer Vision
  • Materials Science

Background:

  • CMOS image sensors (CISs) are crucial in machine vision, medical imaging, automotive systems, and IoT devices.
  • Dynamic range (DR) is a key metric for CISs, determining their ability to capture images across a wide spectrum of light intensities.
  • Increasing demand for wide dynamic range (WDR) capabilities drives innovation in CIS technology for enhanced performance in diverse lighting conditions.

Purpose of the Study:

  • To present active-pixel-type CIS design techniques and architectures for achieving wide dynamic range (WDR).
  • To provide a comprehensive overview of methods for improving light intensity capture in image sensors.
  • To explore future research directions, including neuromorphic array architectures.

Main Methods:

  • Review of fundamental active pixel sensor concepts, readout mechanisms, and DR principles.
  • Analysis of conventional techniques: multiple exposure and dual conversion gain (DCG).
  • Investigation of advanced architectures: lateral overflow integration capacitor (LOFIC), dual photodiode (PD), and linear-logarithmic (Lin-Log) responses.

Main Results:

  • Demonstration of techniques to enhance DR by optimizing trade-offs in exposure and integration.
  • Implementation of non-linear sensor responses (logarithmic and Lin-Log) for improved performance.
  • Exploration of methods to boost sensitivity in low-light environments.

Conclusions:

  • The presented techniques and architectures significantly advance WDR capabilities in CISs.
  • This research provides a foundation for future innovations in image sensor technology.
  • The findings are applicable to cutting-edge advancements and research, including neuromorphic computing.