Wavelet Analysis of Space Solar Telescope Images

Details Wavelet Analysis of Space Solar Telescope Images Wavelet Analysis of Space Solar Telescope Images

Dec 2003

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2003chjaa...3..587z&link_type=abstract

Chinese Journal of Astronomy & Astrophysics, Vol. 3, No. 6, p. 587-596

Astronomy and Astrophysics

Astrophysics

Stars: Images, Techniques: Image Processing, Methods: Wavelet Analysis

Scientific paper

The scientific satellite SST (Space Solar Telescope) is an important research project strongly supported by the Chinese Academy of Sciences. Every day, SST acquires 50 GB of data (after processing) but only 10GB can be transmitted to the ground because of limited time of satellite passage and limited channel volume. Therefore, the data must be compressed before transmission. Wavelets analysis is a new technique developed over the last 10 years, with great potential of application. We start with a brief introduction to the essential principles of wavelet analysis, and then describe the main idea of embedded zerotree wavelet coding, used for compressing the SST images. The results show that this coding is adequate for the job.

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