In this context, the High Pass filter retains only the high-frequency components of the image, effectively removing smooth gradients and leaving edges and fine details. Mathematically, it approximates the computation of local spatial derivatives or Laplacians, which govern the diffusion component of the reaction-diffusion equations.
Conditions: Radius is set to 6.0 Pixels.; Applied after the Add Noise filter.
In this context, the High Pass filter retains only the high-frequency components of the image, effectively removing smooth gradients and leaving edges and fine details. Mathematically, it approximates the computation of local spatial derivatives or Laplacians, which govern the diffusion component of the reaction-diffusion equations.
Conditions: Radius is set to 6.0 Pixels.; Applied after the Add Noise filter.
The Threshold adjustment converts the grayscale image into a binary (black and white) image by setting all pixels below a certain level to black and all pixels above to white. This step discretizes the continuous values resulting from the high-pass filter into the final distinct black and white pattern, acting as a non-linear operation akin to a bistable chemical system.
Conditions: Level is set to 127.; Applied after the High Pass filter.
The Threshold adjustment converts the grayscale image into a binary (black and white) image by setting all pixels below a certain level to black and all pixels above to white. This step discretizes the continuous values resulting from the high-pass filter into the final distinct black and white pattern, acting as a non-linear operation akin to a bistable chemical system.
Conditions: Level is set to 127.; Applied after the High Pass filter.