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Joint reconstruction-segmentation on graphs
Practical image segmentation tasks concern images which must be reconstructed from noisy, distorted, and/or incomplete observations.
An MBO scheme for clustering and semi-supervised clustering of signed networks
We introduce a principled method for the signed clustering problem, where the goal is to partition a graph whose edge weights take both positive and negative values, such that edges within the same cluster are mostly positive, while edges spanning across clusters are mostly negative.
Graph clustering, variational image segmentation methods and Hough transform scale detection for object measurement in images
We consider the problem of scale detection in images where a region of interest is present together with a measurement tool (e. g. a ruler).
A Regularization Approach to Blind Deblurring and Denoising of QR Barcodes
QR bar codes are prototypical images for which part of the image is a priori known (required patterns).
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