BLIND SOURCE SEPARATION OF PARTIAL AND FULL TRANSPARENCY IMAGE USING IMAGE SEPARATION ALGORITHM
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2013, Vol 2, Issue 4
Abstract
The problem of blind separation of multiple source layers from their linear mixtures with unknown mixing coefficients and unknown layer motions. Such mixtures or Full Transparency or Superimposed image can occur when one takes photos through a transparent medium, such as window glass, and the camera or the medium moves between snapshots. Blind Source Separation (BSS) algorithm is to estimate both layer motions and linear mixing coefficients and then recover the all layers. In this method can handle general parameterized motions, including rotations, scaling, translations, and other transformations. Additionally the layers numbers are automatically identified and recovered, in the underdetermined cases where mixtures are fewer than layers. The Blind separation algorithm (BSS) is to handle mixtures with not only unknown mixing coefficients but also unknown parameterized layer motions are extended. This work addresses the separation of images that occurs when a document is scanned or photographed and the back page shows through front page (Ink Bleeding). This effect can be removing in partial paper transparency (show-through) and/or to bleeding of the ink through the paper (bleed-through).
Authors and Affiliations
Narayana Murthy D, T. Sukumar
Keywords
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