Nikolaos Arvanitopoulos Darginis

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Millions of digital images are captured by imaging devices on a daily basis. The way imaging devices operate follows an integral process from which the information of the original scene needs to be estimated. The estimation is done by inverting the integra ...

Reflections are a common artifact in images taken through glass windows. Automatically removing the reflection artifacts after the picture is taken is an ill-posed problem. Attempts to solve this problem using optimization schemes therefore rely on various ...

In this paper, we propose a novel algorithm for dimensionality reduction that uses as a criterion the mutual information (MI) between the transformed data and their cor- responding class labels. The MI is a powerful criterion that can be used as a proxy to ...

It is challenging to complete an image whose 99 percent pixels are randomly missing. We present a solution to this extreme image completion problem. As opposed to existing techniques, our solution has a computational complexity that is linear in the number ...

We propose a novel algorithm for automatic text line extraction on color and grayscale manuscript pages without prior binarization. Our algorithm is based on seam carving to compute separating seams between text lines. Seam carving is likely to produce ...

Nikolaos Arvanitopoulos Darginis

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Sparse Gradient Optimization and its Applications in Image Processing

Single Image Reflection Suppression

Graph Embedded Nonparametric Mutual Information For Supervised Dimensionality Reduction

Extreme Image Completion

Seam Carving for Text Line Extraction on Color and Grayscale Historical Manuscripts

Binarization-free Text Line Extraction for Historical Manuscripts

Image Aesthetics Depends on Context