There are many algorithms, the most common of which is Phase Detection and pulse noise filter (PEF). These algorithms can be processed by the weak light of the target's reflection, which can provide a higher resolution and wider dynamic range than the human eye.

The phase detector is a micr -light imaging algorithm based on the principle of interference. It generate images by measuring the phase difference between the weak light reflected from different directions. The advantage of phase detectors is that they are performing well under low -illumination conditions, but the disadvantage is that accurate phase -shift parameters control and higher calculation complexity.

The pulse noise filter is another micr -light imaging algorithm based on the principle of interference. It generate images by measuring the pulse amplitude and phase difference of the weak light reflected from different directions. The advantage of pulse noise filter is that the calculation is simple, but it performs poorly under low illuminance conditions.

In addition to phase detectors and pulse noise filter, there are many other microcariar night vision algorithms, such as bilateral band technology, frequency domain focus, active infrared radiation, etc. These algorithms have different advantages and disadvantages in different application scenarios, and the appropriate algorithm depends on the specific situation.