Poisson Recoding Of Solar Images For Enhanced Compression |
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| Authors: | Bogdan Nicula David Berghmans Jean-François Hochedez |
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| Institution: | (1) Royal Observatory of Belgium, Ringlaan 3 Avenue Circulaire, B-1180 Brussels, Belgium |
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| Abstract: | The amount of useful scientific data that a space-borne telescope produces is often limited by the available telemetry of
the platform. General purpose image compression schemes are usually used to compress the image either lossy or losslessly.
These schemes do not take into account the fact that pixel values of typical solar images are only known to within a certain
uncertainty range. We present a preprocessing method to enhance the performance (compression ratio) of any subsequent image
compression scheme. The method uses estimates of the photon shot and thermal noises to compute a recoding look-up table that
maps the initial data into uncertainty intervals. The recoding method is lossy in a mathematical sense but lossless in a physical
sense, since the image alterations are guaranteed to be smaller than the Poisson noise. The performance of any further compression
algorithm is enhanced while achieving a known guaranteed maximum absolute error for each pixel in the case of lossless compression.
This revised version was published online in October 2005 with corrections to one of the authors' names. |
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