Singular Value Decomposition of Images from Scanned Photographic Plates

10/07/2013 ∙ by Vasil Kolev, et al. ∙ 0

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 without that image details, is obtained. The SVD of images from scanned photographic plates (SPP) is considered and its possible image compression.



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