Virtually Lossless Compression of Astrophysical Images

<p/> <p>We describe an image compression strategy potentially capable of preserving the scientific quality of astrophysical data, simultaneously allowing a consistent bandwidth reduction to be achieved. Unlike strictly <it>lossless</it> techniques, by which moderate compressi...

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Bibliographic Details
Main Authors: Alparone Luciano, Lastri Cinzia, Aiazzi Bruno, Baronti Stefano
Format: Article
Language:English
Published: SpringerOpen 2005-01-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
Online Access:http://dx.doi.org/10.1155/ASP.2005.2521
Description
Summary:<p/> <p>We describe an image compression strategy potentially capable of preserving the scientific quality of astrophysical data, simultaneously allowing a consistent bandwidth reduction to be achieved. Unlike strictly <it>lossless</it> techniques, by which moderate compression ratios are attainable, and conventional <it>lossy</it> techniques, in which the mean square error of the decoded data is <it>globally</it> controlled by users, <it>near-lossless</it> methods are capable of <it>locally</it> constraining the maximum absolute error, based on user's requirements. An advanced lossless/near-lossless differential pulse code modulation (DPCM) scheme, recently introduced by the authors and relying on a causal spatial <it>prediction</it>, is adjusted to the specific characteristics of astrophysical image data (high radiometric resolution, generally low noise, etc.). The background noise is preliminarily estimated to drive the quantization stage for high quality, which is the primary concern in most of astrophysical applications. Extensive experimental results of lossless, near-lossless, and lossy compression of astrophysical images acquired by the Hubble space telescope show the advantages of the proposed method compared to standard techniques like JPEG-LS and JPEG2000. Eventually, the rationale of <it>virtually lossless</it> compression, that is, a noise-adjusted lossles/near-lossless compression, is highlighted and found to be in accordance with concepts well established for the astronomers' community.</p>
ISSN:1687-6172
1687-6180