Research

The Department is involved in basic research in image processing and pictorial pattern recognition. Major application areas are biomedicine, remote sensing, astronomy, and art conservation.



Theory of invariants and its application to recognition



Restoration of degraded images

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We are dealing with a wide variety of degradations that are common in digital imaging. Namely we consider noise, blurring, insufficient resolution and color deformations. The main research topics are



Applications in cultural heritage and art restoration

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We have been involved in several cultural heritage applications. Nowadays art restorers and conservators are using various visual sensors for better analysis of old artworks and modern image processing methods can facilitate their work. The following list presents areas where our team was involved



Image Forensics

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We are active in developing mathematical and computational algorithms capable of detecting the traces of tampering in digital images. Below are short descriptions of some of our past and current work in this field.


 

Medical Imaging