An approach to assessing the quality of large scientific images prior to full retrieval is presented. In one mode, the assessment depends upon a visual perusal of wavelet packet subbands, especially those of low frequency content. In the other mode, appropriate for very large numbers of images, the approach involves an automatic algebraic screening of images for a site of interest. The effectiveness of the screening depends upon the extraction of identifying features from subregions of images of the site. An indexing method is presented which shows promise in providing these identifying features.
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