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A Variational Approach for Joint Image Recovery and Feature Extraction Based on Spatially-Varying Generalised Gaussian Models
The joint problem of reconstruction / feature extraction is a challenging task in image processing.
Non-convex Super-resolution of OCT images via sparse representation
We propose a non-convex variational model for the super-resolution of Optical Coherence Tomography (OCT) images of the murine eye, by enforcing sparsity with respect to suitable dictionaries learnt from high-resolution OCT data.
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