The normalize filter maps the colors of the image to values between 0 and 1, so that the lowest point is at 0 and the highest at 1.
This is especially useful for gradient maps.
For example, by default sines are generated from -1 to 1. After normalization the high points are still at 1 but the low points are now at 0 and everything in between has been modified accordingly:
The normalize filter maps the colors of the image to values between 0 and 1, so that the lowest point is at 0 and the highest at 1. This is especially useful for gradient maps.
For example, by default sines are generated from -1 to 1. After normalization the high points are still at 1 but the low points are now at 0 and everything in between has been modified accordingly: