Image enhancement via blind decomposition techniques
Ozgur Murat Polat, Yakup S. Ozkazanc · 2011
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.