  We want to approximate the mxn image A from scanned astronomical photographic
plates (from the Sofia Sky Archive Data Center) by using far fewer entries than
in the original matrix. By using rank of a matrix, k we remove the redundant
information or noise and use as Wiener filter, when rank k<m or k<n. With this
approximation more than 98% compression ration of image of astronomical plate
without that image details, is obtained. The SVD of images from scanned
photographic plates (SPP) is considered and its possible image compression.

Computer Vision and Pattern Recognition;Instrumentation and Methods for Astrophysics;Computational Engineering, Finance, and Science