Lossless Compression of Astronomical Images

Details Lossless Compression of Astronomical Images Lossless Compression of Astronomical Images

Jul 1999

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1999iraj...26..119l&link_type=abstract

Irish Astronomical Journal, 1999 (July), 26(2), 119

Statistics

Computation

Scientific paper

In Louys et al. (1999), we compared a range of powerful compression methods -- fractal, wavelets, pyramidal median, JPEG -- with compression tools dedicated to astronomy such as HCOMPRESS, FITSPRESS and Mathematical Morphology, and applied these to astronomical images. Quality was quantified from visual appearance, and from photometric and astrometric measurements. Computational requirements of each method were discussed. We also reviewed the implications of Web-based storage and transmission, stressing the importance of progressive vision. In this article, we present initial results on image compression with no loss of information. We also point to the secondary, albeit very considerable, benefits for astronomical image processing in a distributed computing environment such as the Web.

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