Correlation and image compression for limited-bandwidth CCD.
Author(s) -
Douglas Thompson
Publication year - 2005
Publication title -
osti oai (u.s. department of energy office of scientific and technical information)
Language(s) - English
Resource type - Reports
DOI - 10.2172/923168
Subject(s) - lossy compression , lossless compression , image compression , bandwidth (computing) , computer science , data compression , digital image correlation , compression ratio , compression (physics) , phase correlation , computer vision , artificial intelligence , image (mathematics) , image processing , optics , engineering , telecommunications , mathematics , physics , internal combustion engine , automotive engineering , thermodynamics , fourier analysis , mathematical analysis , short time fourier transform , fourier transform
As radars move to Unmanned Aerial Vehicles with limited-bandwidth data downlinks, the amount of data stored and transmitted with each image becomes more significant. This document gives the results of a study to determine the effect of lossy compression in the image magnitude and phase on Coherent Change Detection (CCD). We examine 44 lossy compression types, plus lossless zlib compression, and test each compression method with over 600 CCD image pairs. We also derive theoretical predictions for the correlation for most of these compression schemes, which compare favorably with the experimental results. We recommend image transmission formats for limited-bandwidth programs having various requirements for CCD, including programs which cannot allow performance degradation and those which have stricter bandwidth requirements at the expense of CCD performance
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