The Department is involved in basic research in image processing, pattern recognition and design and application of AI. Major application areas are biomedicine, farming, remote sensing, astronomy, and art conservation.
Main scientific areas
- Recognition of distorted images and patterns by invariant descriptors regardless of their actual position in the scene
- AI aplications
- 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