Optimal Compression of Floating-Point FITS Images

Details Optimal Compression of Floating-Point FITS Images Optimal Compression of Floating-Point FITS Images

Dec 2010

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010aspc..434..365p&link_type=abstract

Astronomical Data Analysis Software and Systems XIX. Proceedings of a conference held October 4-8, 2009 in Sapporo, Japan. Edite

Astronomy and Astrophysics

Astronomy

Scientific paper

Lossless compression (e.g., with GZIP) of floating-point format astronomical FITS images is ineffective and typically only reduces the file size by 10% to 30%. We describe a much more effective compression method that is supported by the publicly available fpack and funpack FITS image compression utilities that can compress floating point images by a factor of 10 without loss of significant scientific precision. A “subtractive dithering” technique is described which permits coarser quantization (and thus higher compression) than is possible with simple scaling methods.

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