Physics – Optics
Scientific paper
Dec 1993
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1993aifo.reptq....s&link_type=abstract
M.S. Thesis Air Force Inst. of Tech., Wright-Patterson AFB, OH. School of Engineering.
Physics
Optics
Adaptive Optics, Image Enhancement, Image Processing, Image Reconstruction, Statistical Analysis, Image Motion Compensation, Image Resolution, Imaging Techniques, Signal To Noise Ratios
Scientific paper
The U.S. Air Force employs adaptive optics systems to produce images of exo-atmospheric objects. Typically, a large set of short exposure images are collected, re-centered to compensate for random image motion, averaged together to improve the signal to noise ratio, and then processed to form a reconstructed image. It is known that some short exposure images will be better than others, so some researchers have suggested that image quality can be improved by selecting a subset of the short exposure images according to some quality criterion, and then processing the average of this subset to form a single, high quality image. This thesis investigates the statistical implications of using frame selection as a post-processing technique to enhance images of exo-atmospheric objects measured by Air Force adaptive optics systems. The results demonstrate that frame selection narrows the optical system point spread function, which reduces image blurring, and increases the frequency spectrum signal to noise ratio, particularly in the mid-frequency range. For extended objects, the technique is light level dependent: for a 1 meter adaptive optics telescope, frame selection will yield an increase in signal to noise ratio for objects brighter than visual magnitude +2.3.
No associations
LandOfFree
Improved quality of reconstructed images through sifting of data in statistical image reconstruction does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Improved quality of reconstructed images through sifting of data in statistical image reconstruction, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Improved quality of reconstructed images through sifting of data in statistical image reconstruction will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-783322