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17th International Conference on Pattern Recognition (ICPR'04) - Volume 1
A Feasibility study of On-Board Data Compression for Infrared Cameras of Space Observatories
Cambridge UK
August 23-August 26
ISBN: 0-7695-2128-2
C. Reimers, University of Vienna, Austria
A. N. Belbachir, Vienna University of Technology, Austria
H. Bischof, Technical University Graz, Austria
R. Ottensamer, University of Vienna, Austria
D. A. Cesarsky, Max Planck Institute for Extraterrestrial Physics, Garching, Germany
H. Feuchtgruber, Max Planck Institute for Extraterrestrial Physics, Garching, Germany
F. Kerschbaum, University of Vienna, Austria
A. Poglitsch, Max Planck Institute for Extraterrestrial Physics, Garching, Germany
In this paper, the feasibility of on-board data reduction/compression concept described in [On-board data compression: Noise and complexity related aspects] is evaluated for infrared images taken from space observatories. The method described in [On-board data compression: Noise and complexity related aspects], which was initially designed and developed for the PACS (Photodetector Array Camera and Spectrometer) instrument [http://www.mpe.mpg.de/projects.html], makes use of on-board integration to achieve higher compression ratio (CR) for applications with modest telemetry rate. The evaluation of the reduction concept takes into account the visual performance (distortion) and the compression ratio. The distortion is assessed by calculating the reconstruction error using 4 metrics, namely, Root Mean Square Error (RMSE), Signal-to-Noise-Ratio (SNR), Peak-Signal-to-Noise-Ratio (PSNR) and Potential Information Loss (PIL). A quantitative evaluation of the on-board compression concept is performed on data from the infrared camera ISOCAM (Infrared Space Observatory CAMera). We conclude with a short summary.
Citation:
C. Reimers, A. N. Belbachir, H. Bischof, R. Ottensamer, D. A. Cesarsky, H. Feuchtgruber, F. Kerschbaum, A. Poglitsch, "A Feasibility study of On-Board Data Compression for Infrared Cameras of Space Observatories," icpr, vol. 1, pp.524-527, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 1, 2004
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