Decorrelating the Components of a Variational Decomposition Model
نویسنده
چکیده
In [1], Aujol, et. al. make the observation that the cartoon and texture components of the decomposition of an image should not be correlated, as they are generated from independent processes. They use this observation in order to choose an optimal fidelity parameter λ for the decomposition process. However this determination can be quite inefficient since a wide range of parameters λ must be searched through before an estimated optimal parameter can be found. In the present paper, we take a different approach, in which the cartoon and texture components are explicitly decorrelated by adding a decorrelation term to the energy functional of the decomposition model of Osher, Solé and Vese. Results of improved quality over the model of Osher, Solé and Vese are obtained, with cartoon and texture information better separated into their respective components, and discrimination results similar to those from Improved Edge Segregation [2], [3] obtained with fewer iterations.
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