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Combining Contrast Invariant L1 Data Fidelities with Nonlinear Spectral Image Decomposition
However, for an effective use in image segmentation and shape decomposition, a clear interpretation of the spectral response regarding size and intensity scales is needed but lacking in current approaches.
Multiscale Segmentation via Bregman Distances and Nonlinear Spectral Analysis
For this we generalize a variational segmentation model based on total variation using Bregman distances to construct an inverse scale space.
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