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Found 9 papers, 4 papers with code
Joint reconstruction-segmentation on graphs
Practical image segmentation tasks concern images which must be reconstructed from noisy, distorted, and/or incomplete observations.
An Analysis of Generative Methods for Multiple Image Inpainting
In this work, we focus on learning-based image completion methods for multiple and diverse inpainting which goal is to provide a set of distinct solutions for a given damaged image.
Unsupervised Clustering of Roman Potsherds via Variational Autoencoders
In this paper we propose an artificial intelligence imaging solution to support archaeologists in the classification task of Roman commonware potsherds.
Unsupervised clustering of Roman pottery profiles from their SSAE representation
The partiality and the handcrafted variance of the shape fragments within this new database make their unsupervised clustering a very challenging problem: profile similarities are thus explored via the hierarchical clustering of non-linear features learned in the latent representation space of a stacked sparse autoencoder (SSAE) network, unveiling new profile matches.
Total Variation Regularisation with Spatially Variable Lipschitz Constraints
We introduce a first order Total Variation type regulariser that decomposes a function into a part with a given Lipschitz constant (which is also allowed to vary spatially) and a jump part.
Numerical Analysis Numerical Analysis 65J20, 65J22, 68U10, 94A08
Variational Osmosis for Non-linear Image Fusion
We propose a new variational model for non-linear image fusion.
Higher-Order Total Directional Variation. Part I: Imaging Applications
We introduce a new class of higher-order total directional variation regularizers.
Numerical Analysis 47A52, 49M30, 49N45, 65J22, 94A08
Anisotropic osmosis filtering for shadow removal in images
We present an anisotropic extension of the isotropic osmosis model that has been introduced by Weickert et al.~(Weickert, 2013) for visual computing applications, and we adapt it specifically to shadow removal applications.
Analysis of PDEs 68U10, 94A08, 49K20, 65M06,
Unveiling the invisible - mathematical methods for restoring and interpreting illuminated manuscripts
The last fifty years have seen an impressive development of mathematical methods for the analysis and processing of digital images, mostly in the context of photography, biomedical imaging and various forms of engineering.
