Like denoising, artificial traces are serious.

The image denoising artificial trace method is as follows:

1, the average filter using neighborhood average method is very suitable for removing particle noise in scanned images. Neighborhood average method effectively suppresses noise, but it also causes ambiguity due to average, and the degree of ambiguity is proportional to the radius of the domain.

2. The smoothness of geometric mean filtering can be compared with arithmetic mean filtering, but less image details will be lost in the filtering process.

3. Harmonic average filtering is good for salt noise, but not suitable for pepper noise. Good at dealing with Gaussian noise and other noises.

4. Inverse harmonic averaging filter is more suitable for dealing with impulse noise, but it has a disadvantage, that is, it needs to know whether the noise is dark noise or bright noise, so as to choose the appropriate filter order number. If the order is signed wrong, it may have disastrous consequences.