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Image enhancement via blind decomposition techniques

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2 Author(s)
Polat, O.M. ; TUBITAK- BILGEM, UEKAE, İltaren, Turkey ; Ozkazanc, Y.S.

Unsupervised learning and blind signal decomposition methods are used for recovering unknown source signals from their linear mixtures using the observed data only. In these methods, a new representation of the data can reveal some hidden information inherent in the data. In this study, principal component analysis, independent component analysis and non-negative matrix factorization methodologies are applied on a single image for extracting information and image enhancement.

Published in:

Signal Processing and Communications Applications (SIU), 2011 IEEE 19th Conference on

Date of Conference:

20-22 April 2011