TY - JOUR
T1 - Astronomical Image Compression Based on Noise Suppression
AU - Starck, Jean Luc
AU - Murtagh, Fionn
AU - Pirenne, Benoît
AU - Albrecht, Miguel
PY - 1996/5/1
Y1 - 1996/5/1
N2 - We review methods which are widely used for compression of astronomical images. These include multiresolution approaches. We use such an approach, a pyramidal median transform, which is followed by noise suppression at each resolution scale. To preserve photometric and astrometric fidelity to the input image, a multiresolution astronomical-object support is used. We discuss the common astronomical noise models (additive Poisson, Gaussian, and Poisson plus Gaussian). A range of examples on digitized plate, and on CCD, image data is used to show the effectiveness of this approach.
AB - We review methods which are widely used for compression of astronomical images. These include multiresolution approaches. We use such an approach, a pyramidal median transform, which is followed by noise suppression at each resolution scale. To preserve photometric and astrometric fidelity to the input image, a multiresolution astronomical-object support is used. We discuss the common astronomical noise models (additive Poisson, Gaussian, and Poisson plus Gaussian). A range of examples on digitized plate, and on CCD, image data is used to show the effectiveness of this approach.
KW - Astronomical image compression
KW - Noise suppression
KW - Pyramidal median transform
UR - http://www.scopus.com/inward/record.url?scp=0000359097&partnerID=8YFLogxK
U2 - 10.1086/133746
DO - 10.1086/133746
M3 - Article
AN - SCOPUS:0000359097
VL - 108
SP - 446
EP - 455
JO - Publications of the Astronomical Society of the Pacific
JF - Publications of the Astronomical Society of the Pacific
SN - 0004-6280
IS - 723
ER -