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Astronomical context coder for image compression

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Abstract

Recent lossless still image compression formats are powerful tools for compression of all kind of common images (pictures, text, schemes, etc.). Generally, the performance of a compression algorithm depends on its ability to anticipate the image function of the processed image. In other words, a compression algorithm to be successful, it has to take perfectly the advantage of coded image properties. Astronomical data form a special class of images and they have, among general image properties, also some specific characteristics which are unique. If a new coder is able to correctly use the knowledge of these special properties it should lead to its superior performance on this specific class of images at least in terms of the compression ratio. In this work, the novel lossless astronomical image data compression method will be presented. The achievable compression ratio of this new coder will be compared to theoretical lossless compression limit and also to the recent compression standards of the astronomy and general multimedia.

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Acknowledgments

The work has been supported by the grant No. 14-25251S “Nonlinear imaging systems with spatially variant point spread function” of the Czech Science Foundation.

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  1. Faculty of Electrical Engineering, Czech Technical University in Prague, Prague 6, Czech Republic

    Petr Pata & Jaromir Schindler

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  1. Petr Pata
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  2. Jaromir Schindler
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Correspondence to Petr Pata.

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Pata, P., Schindler, J. Astronomical context coder for image compression. Exp Astron 39, 495–512 (2015). https://doi.org/10.1007/s10686-015-9460-3

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