NEAT projects

Choose from any of the eleven Motion Recognition algorithms and compare their effects in
Post Processing. Tip: Double-clicking sets an algorithm back to its standard value.

Long-time exposure: This process determines the average for every pixel in a shot to simulate a type of long exposure.

Remove Motion (Multipass): The motion is determined through a flexible median mask based on colour channels and brightness of individual pixels. Since this process is well suited to most image sequences, it has been set as the standard.

Remove Motion (Brightness): Pixel brightness is the single component of this calculation, which makes it appropriate for black & white sequences.

Remove Motion (Colour): This technique is exclusively based on pixel colour and is best suited to particularly colourful sequences.

Remove Motion (Matrix): The matrix process uses a congruence matrix rather than a median mask allowing it to identify fine movements and differentiating it from other algorithms.

Remove Motion (Very Soft): The moving objects are removed by means of a standard deviation calculation, which is most suitable for images with moving clouds.

Add Motion: The opposite of motion removal. All motion in the sequence will be determined and added based on pixel brightness.