Regularization constraints in lossy compressed astronomical image restoration

Details Regularization constraints in lossy compressed astronomical image restoration Regularization constraints in lossy compressed astronomical image restoration

Oct 1996

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1996spie.2825...32b&link_type=abstract

Proc. SPIE Vol. 2825, p. 32-40, Wavelet Applications in Signal and Image Processing IV, Michael A. Unser; Akram Aldroubi; Andrew

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Astronomical images currently provide large amounts of data. Lossy compression algorithms have recently been developed for high compression ratios. These compression techniques introduce distortion in the compressed images and for high compression ratios, a blocking effect appears. A new algorithm based on the regularization theory is proposed for the restoration of such lossy compressed astronomical images. The image is restored scale by scale in a multiresolution scheme and the information lost during the compression is recovered by applying a regularization constraint. The experimental results show that the blocking effect is reduced and some measurements made on a simulated image show that the astrometic and photometric properties of the restored images are improved.

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