Generalized Mixture Ratio Based Blind Image Separation
Generalized Mixture Ratio Based Blind Image Separation
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DOI：
10.1109/lsp.2013.2265274
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发表时间：
2013-06
影响因子：
3.9
通讯作者：
K. Hara;K. Inoue;K. Urahama
中科院分区：
文献类型：
--
作者：
K. Hara;K. Inoue;K. Urahama
迭代方法主要用于盲源分离。迭代方法的成功通常取决于输入参数值的适当选择，例如初始条件和控制参数。我们提出了一种直接非迭代方法，使用混合物之间相对变换矩阵的行列式的边界值来盲目分离线性混合图像。该算法是最初由 Diamantaras 和 Papadimitriou (2005) 提出的基于混合比的算法的重要扩展，并且允许有限任意数量的源图像。我们展示了我们的方法在合成图像上的性能。
Iterative approaches have been mostly used for blind source separation. The success of iterative methods generally depends upon appropriate selection of the values of the input parameters such as initial conditions and control parameters. We propose a direct non-iterative method for blindly separating linearly mixed images using the boundary values of the determinant of the relative transformation matrix between the mixtures. The algorithm is a non-trivial extension of the mixture ratio based algorithm originally proposed by Diamantaras and Papadimitriou (2005) and allows for a finite arbitrary number of source images. We demonstrate the performance of our method on synthetic images.