BETTER ASTRONOMICAL IMAGES   by selecting "moments of good seeing" in captured video   James Chauvin  

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Abstract          This research project attempted to create software by which images of astronomical objects, captured through land based telescopes could, be enhanced to reduce the effects of the earth's turbulent atmosphere. Typically astronomical images are enhanced by registering, shifting and co-adding captured images of an object of interest. Our approach is similar in that co-adding is also utilized, however we take the typical procedure a step further. Our hypothesis is that by selecting certain images from the captured group, via the application of a simple quality metric, the output of the co-adding process will yield a higher quality image than by traditional methods. Further this research aims to use a simple quality metric on incoming video images and process them in much shorter time, ideally near real-time, as opposed to a lengthy post-processing procedure.
 
   
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