sminterpolate

Yes - OpenCV is a good resource for experimenting with motion interpolation as they implement a few different algorithms: http://docs.opencv.org/2.4/modules/video/doc/motion_analysis... I've had the most success with the Farneback algorithm. There's even a nice CLI utility called Butterflow which wraps ffmpeg+OpenCV Farneback, and allows you to interpolate video with a one-liner on the command line: https://github.com/dthpham/butterflow Here's an example of my results applying Butterflow to satellite images from Himawari - the first half is interpolated, while the second half shows the same frames uninterpolated: https://www.youtube.com/watch?v=8knZ2-cys6M & a compilation of a few more: https://www.youtube.com/watch?v=1lPsA8J3U0Q

In addition to the link posted by celoyd, you can get access to the full data stream you mentioned by filling out this application form[0]. There are also some heavily processed images from that data available from NOAA[1] - the "Geocolor Full Disk" is the best, it's half-resolution (5500x5500). The green filter on Himawari's camera doesn't correctly capture the green color of vegetation, which is why OP's video looks browner than you might expect. So this product attempts to correct for that by creating an artificial green channel made of a combination of other channels[2]. It also attempts to correct for Rayleigh scattering[3], so this is basically what the Earth would look like if the atmosphere suddenly disappeared (except for the clouds :P). The night portions of these images are a different kind of false color composite: the clouds