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Exposure Time Control Method for Higher Intermediate Frequency in Optical Heterodyne Imaging and Its Application to
Kiyotaka Sasagawa1, Ryoma Okada1, Yoshihiro Akamatsu1
1Division of Materials Science, Graduate School of Science and Technology, Nara Institute of Science and Technology, 8916-5 Takayama, Ikoma, Nara, 630-0192 Japan.
Sensors (Basel, Switzerland)
|February 24, 2024
Summary
This study introduces a novel equivalent time sampling method for image sensors to precisely detect target frequencies. The technique enhances signal-to-noise ratio, overcoming limitations of previous methods in noisy environments.
Area of Science:
- Optics and Photonics
- Signal Processing
- Scientific Imaging
Background:
- Equivalent time sampling (ETS) with image sensors enables detection of frequencies beyond the sensor's frame rate.
- Previous ETS methods using image sensors were susceptible to interference from lower frequencies (e.g., 1/4 frame rate).
- High noise conditions, particularly in the low-frequency band, challenge conventional imaging techniques.
Purpose of the Study:
- To develop a selective frequency detection method using image sensors.
- To improve the signal-to-noise ratio (SNR) in equivalent time sampling.
- To enable precise electric field imaging under challenging noisy conditions.
Main Methods:
- Implementing equivalent time sampling by shortening image sensor exposure times.
- Introducing a novel phase control mechanism by inserting an interval every four frames.
- Applying the technique to electric field imaging utilizing the electro-optic effect.
Main Results:
- The proposed method selectively detects the target frequency, suppressing unwanted lower frequencies.
- Demonstrated improved signal-to-noise ratio compared to conventional methods.
- Successfully performed electric field imaging in a high-noise, low-frequency environment.
Conclusions:
- The developed phase-controlled ETS method offers selective and robust frequency detection.
- This advancement significantly enhances SNR for image sensor-based frequency analysis.
- The technique is effective for precise electric field imaging, even under adverse noise conditions.

