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Averaging Pixel Current Adjustment Technique for Reducing Fixed Pattern Noise in the Bolometer-Type Uncooled Infrared

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This study introduces an averaging pixel current adjustment technique to reduce fixed pattern noise (FPN) in infrared image sensors. The method effectively subtracts dark current for improved image quality.

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Area of Science:

  • Electrical Engineering
  • Materials Science
  • Optics

Background:

  • Bolometer-type uncooled infrared image sensors are crucial for thermal imaging.
  • Fixed Pattern Noise (FPN) is a significant challenge affecting image quality in these sensors.
  • Resistance deviations in polysilicon resistors within pixels cause FPN.

Purpose of the Study:

  • To propose and evaluate a novel averaging pixel current adjustment technique for FPN reduction.
  • To enhance the performance and accuracy of infrared image sensors.

Main Methods:

  • The technique utilizes active pixels, reference pixels, and a calibration circuit.
  • It operates on the principle of subtracting active pixel dark current from reference pixel dark current.
  • A calibration circuit adjusts current, outputting a stable nano-ampere current with minimal deviation.

Main Results:

  • The averaging pixel current adjustment technique effectively reduces FPN.
  • The implemented chip, fabricated using a 0.35 μm CMOS process, demonstrated successful noise reduction.
  • The output current after calibration exhibited small deviations.

Conclusions:

  • The proposed averaging pixel current adjustment technique is a viable solution for mitigating FPN in bolometer-type infrared image sensors.
  • This method contributes to improved infrared image sensor performance and reliability.