Abstract
The despeckling and segmentation algorithm described by the authors, is extended to two-dimensional images. The method is based upon a least-squares fit of the data to a 'cartoon' model designed to retain the necessary segmentation information within a noise-free framework; the authors describe both the construction of the cartoon, and efficient techniques for implementing the least-squares fitting procedure. Results suggest that this approach has considerable promise for segmenting complex images.
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