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.
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Starck et al. (1996) studied this question.