But the time steps between images were large and exhibited significant jumping and data gaps. The solution was to create additional images between the existing set by interpolation. But simple interpolation would not work due to significant changes between the images.
To solve this, we interpolated between the images using the velocity vector field of the cloud images. The velocity vector field was computed by performing a 2-dimensional cross-correlation (Wikipedia: Cross-correlation) between the images. This velocity field was checked against Jupiter velocity profiles from the scientific literature and agreement was excellent. With the addition of a simple vortex flow at the location of the Great Red Spot, the interpolation process was used to generate intermediate images, increasing the total number of images from 14 to 220 and resulting in a smoother animation.
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