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Algorithms for Finding Global Minimizers of Image Segmentation and Denoising Models
Tony F. Chan, Selim Esedoglu, Mila Nikolova
Source abstract
We show how certain nonconvex optimization problems that arise in image processing and computer vision can be restated as convex minimization problems. This allows, in particular, the finding of global minimizers via standard convex minimization schemes.
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