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资源说明：Test to see if we can create a pipeline to reconstruct any stream of frames.
The idea is to create a pipeline to enhance object from a high-cadence burst of images. The limitation is that the object should be static for at least a few images. During my PhD I worked with tools to remove optical atmospheric aberrations from images taken with solar telescopes. There is a great deal of awesome work beign done there. I believe I should at least try to apply some of these concepts for general purpose images. Let´s start simple. Think of a video feed a zoomed-in video blurred by heat. The pipeline would be: 1.- Read input frames. 2.- Create a median image and higest contrast image. Evaluate the fittness of the integration time. As much as possible there should not be changes in the objects during the integration time of each frame, and the burst length. 3.- Try to determine the size of the iso-planatic patch (solid angle where aberrations can be considered constant). 4.- For each sub-image burst, order a batch by decreasing contrast, select first few: 4a.-Apply speckle interferometry and check result. 4b.-Apply Blind Deconvolution and check result. MOMFBD is free to use, but highly tailored to solar telescopes. 4c.-Use high contrast images as first estimation for reconstruction. 5.- Combine subfields. Use reconstruction as first estimation for the next iteration. Adjust length of burst and size of patches.
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