MaAmp is a program for mathematical treatment of data
from video files. When a lengthy video of a stationary object is filmed,
it contains more information about this object, than each individual
frame of this video. If many video frames are averaged correctly, due to
the noise averaging effect, new details appear on the resulting image
that were not visible in individual frames.
The main feature of the program is light
amplification. If a video of a stationary object is filmed in a dark
place, the video frames averaging allows to make it brighter. Another
feature is the mathematical zoom: when a video of a stationary object is
processed, a picture in a higher resolution can be obtained. However
this feature is not elaborated well at the moment, we think it can be
Besides that, MaAmp provides a motion
amplifier feature: if a video of a stationary object with moving
elements is filmed and processed, each frame is compared with averaged
frame, and the moving elements are highlited.