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.

• Recognition of distorted images and patterns by invariant descriptors regardless of their actual position in the scene
• Registration and fusion of several images of the same scene taken at different times, by different sensors and/or from different viewpoints in order to obtain information of higher quality
• Theory of moment invariants, namely of rotation invariants, affine invariants and invariants to convolution
• Restoration of degraded images, namely multichannel blind deconvolution, edgepreserving denoising, local contrast enhancement, and color transformations
• Image forensics - detection of image forgeries
• Cultural heritage applications - cooperation with art conservators in order to facilitate the conservation and material analysis work