Computational Imaging Group

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Computational Imaging Group is a part of The Computing Sciences Unit, Faculty of Information Technology and Communication Sciences, Tampere University, Tampere, Finland. Founded in 1998. The group leader is Professor Karen Egiazarian.
The mission of Computational Imaging Group is a theoretical and applied research different from the traditional image processing with a special emphasis on applied mathematics, optics, human perception. Applications are in consumer electronics, mobile imaging, microscopy, and remote sensing.

Keskeiset tehtävät ja tavoite

Main research areas are:

  • Sparse image and video processing in transform domain.The sparsity concepts claims that fragments of natural image can be represented by a linear combination of small number of atoms (basis functions). It is a flexible instrument for various imaging problems such as denoising, deblurring, demosaicing, super-resolution, compressed sensing, and other inverse problems in imaging.
  • Coherent phase imaging and light field phase coding. Phase imaging is a unique instrument to study details of internal structure of transparent or semitransparent specimens. In modern technology and science phase and wavefield imaging are popular and well established technique for high-accuracy measuring, recording and reconstructing 2D and 3D objects. The areas of applications are varying from astronomy and engineering to medicine and biology.
  • Image visual quality assessment. Full-reference and no-reference image visual quality metrics, verification of quality metrics, human visual system, blind noise parameters estimation.
  • Image and video lossy compression. DCT based compression, fractal based compression, partitions schemes in lossy compression, multichannel image compression, noisy image compression, automatic selection of compression parameters

Ryhmän johtaja