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How to improve the signal-to-noise ratio of industrial camera images

2021-09-15

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1. Fixed noise correction
This method needs to measure and store the fixed image signal of each pixel, set up a correction circuit or correction software, and use the correction circuit or correction software to fix the image noise. It can eliminate the inconsistency of the voltage drop and internal resistance of the transmission gate of each pixel, eliminate the inconsistency of the bias voltage of each pixel, improve the image quality and improve the .

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2. Low temperature work
The imaging device is cooled by a semiconductor cooler to reduce the thermal noise of the imaging device, which is suitable for low light and long time occasions.
3. Correlated double sampling
Two samplings are performed before and after one exposure, and the difference between the sampling values before and after exposure is output, which can eliminate KTC (pixel reset) noise.
There are many factors that affect the signal-to-noise ratio of industrial cameras, such as power supply interference, interference caused by overheating of electronic components, etc. Generally, the signal-to-noise ratio of the camera is between 50-60dB, and the video recorder is between 40-50dB. Therefore, we need to pay attention to relevant factors when using and processing images.