Computational Imaging / Transform and Spectral Techniques Group
The Computational Imaging group
is part of the Department of Signal Processing
at Tampere University of Technology
The group is specialized in forefront research on various applied and fundamental aspects of imaging, with particular emphasis on the computational methods that make advanced digital imaging applications possible.
Prof. Karen Egiazarian
Prof. Vladimir Katkovnik
Dr. Atanas Gotchev
Dr. Alessandro Foi
11 PhD students, 10 MSc students complete list of group members
The group has long-standing national and international collaborations with industry and academia.
Tomographic reconstruction and compressive sensing
- noise modeling and analysis for digital imaging sensors
- image and video filtering: denoising, deblurring, deblocking, sharpening, enhancement
- color filter array interpolation (demosaicking)
- image/video upsampling and super-resolution
nonlinear high-quality upsampling and super-resolution based recursive spatially adaptive block-matching filtering
- high dynamic range imaging
3D Visual Communications and Video Processing for Mobile Devices
- compression of raw Bayer pattern data
- optimal lossy compression of noisy images
Transforms methods for electroencephalography (EEG)
- MDC for images, video, stereo-video and 3D geometry
- Optimized visualizations on auto-stereoscopic displays
- measurement of artifacts on various 3D displays
- semi-active 3D auto-stereoscopic displays
- mobile 3D auto-stereoscopic displays
- anti-aliasing filtering for 3D displays
- Mobile 3DTV content delivery optimization over DVB-H system
Sampling and interpolation
- automatic scale/bandwidth selection in nonparametric regression
- anisotropic estimation
- nonlocal transform-based filtering
- fast transforms
- nonlinear transformations
- design of optimized piecewise-polynomial resampling kernels
- effient filter structures for decimation and interpolation
- non-uniform image resampling
- non-uniform sampling of the diffraction field
- perceptual image quality
- eye tracking and gaze analysis
- 3D video quality of experience
Gomez-Herrero, G., Rutanen, K., and Egiazarian, K., “Blind source separation by entropy rate minimization”, preprint (August 2009), to appear IEEE Sig. Proc. Lett..
Cantero, J. L., Atienza, M., Gomez-Herrero, G., Cruz-Vadell, A., Gil-Neciga, E., Rodriguez-Romero, R. and Garcia-Solis, D., “Functional integrity of thalamocortical circuits differentiates normal aging from mild cognitive impairment”, preprint (May 2009), to appear Human Brain Mapping. doi:10.1002/hbm.20819
Katkovnik, V., A. Foi, K. Egiazarian, and J. Astola, “From local kernel to nonlocal multiple-model image denoising”, preprint (July 2009), to appear Int. J. Computer Vision. doi:10.1007/s11263-009-0272-7
Foi, A., “Clipped noisy images: heteroskedastic modeling and practical denoising”, Signal Processing, vol. 89, no. 12, pp. 2609-2629, December 2009. doi:10.1016/j.sigpro.2009.04.035
Gomez-Herrero, G., Atienza, M., Egiazarian, K. and Cantero, J. L., “Measuring directional coupling between EEG sources”, Neuroimage, vol. 43, no. 3, pp. 497-508, November 2008.doi:10.1016/j.neuroimage.2008.07.032
Foi, A., M. Trimeche, V. Katkovnik, and K. Egiazarian, “Practical Poissonian-Gaussian noise modeling and fitting for single image raw-data”, IEEE Trans. Image Process., vol. 17, no. 10, pp. 1737-1754, October 2008.
Katkovnik, V., J. Astola, and K. Egiazarian, “Discrete diffraction transform for propagation, reconstruction, and design of wavefield distributions”, Applied Optics, vol. 47, no. 19, pp. 3481-3493, July 2008.
Katkovnik, V., J. Astola, and K. Egiazarian, “Phase local approximation (PhaseLa) technique for phase unwrap from noisy data”, IEEE Trans. Image Process., vol. 17, no. 6, pp. 833-846, June 2008.
Katkovnik, V., and V. Spokoiny, “Spatially Adaptive Estimation via Fitted Local Likelihood Techniques”, IEEE Trans. Image Process., vol. 56, no. 3, pp. 873-886, March 2008.
Tichavsky, P., Koldovsky, Z., Yeredor, A., Gomez-Herrero, G., and Doron, E., “A hybrid technique for blind separation of non-Gaussian and time-correlated sources using a multicomponent approach”, IEEE Trans. Neural Networks, vol. 19, no. 3, pp. 421-430, March 2008.
Foi, A., S. Alenius, V. Katkovnik, and K. Egiazarian, “Noise measurement for raw-data of digital imaging sensors by automatic segmentation of non-uniform targets”, IEEE Sensors Journal, vol. 7, no. 10, pp. 1456-1461, October 2007.
Pirinen, O., A. Foi, and A. Gotchev, “Color High Dynamic Range Imaging: The Luminance-Chrominance Approach”, Int. J. Imaging Systems and Technology (IJIST), Special Issue on Applied Color Image Processing, vol. 17., no. 3, pp. 152-162, October 2007.
Dabov, K., A. Foi, V. Katkovnik, and K. Egiazarian, “Image denoising by sparse 3D transform-domain collaborative filtering, ” IEEE Trans. Image Process., vol. 16, no. 8, pp. 2080-2095, August 2007.
Foi, A., V. Katkovnik, and K. Egiazarian, “Pointwise Shape-Adaptive DCT for High-Quality Denoising and Deblocking of Grayscale and Color Images”, IEEE Trans. Image Process., vol. 16, no. 5, pp. 1395-1411, May 2007.
Paliy, D., V. Katkovnik, R. Bilcu, S. Alenius, K. Egiazarian, “Spatially Adaptive Color Filter Array Interpolation for Noiseless and Noisy Data”, International Journal of Imaging Systems and Technology (IJISP), Special Issue on Applied Color Image Processing, vol. 17, iss. 3, pp. 105-122, October 2007.
Katkovnik, V., K. Egiazarian, and J. Astola, Local Approximation Techniques in Signal and Image Processing, SPIE Press, Monograph Vol. PM157, September 2006.
Katkovnik, V., K. Egiazarian, and J. Astola, “A Spatially Adaptive Nonparametric Regression Image Deblurring”, IEEE Trans. Image Process., vol. 14, no. 10, pp. 1469-1478, October 2005.
Katkovnik, V., “Multiresolution local polynomial regression: a new approach to pointwise spatial adaptation”, Digital Signal Process., vol. 15, pp. 73-116, 2005.
Katkovnik, V., K. Egiazarian, and J. Astola, “Adaptive window size image de-noising based on intersection of confidence intervals (ICI) rule”, J. of Math. Imaging and Vision, vol. 16, no. 3, pp. 223-235, 2002.
Nikolaev, N., A. Gotchev, K. Egiazarian, and Z. Nikolov, “Suppression of electromyogram interference on the electrocardiogram by transform domain denoising”, Medical & Biological Engineering and Computing, vol. 39, pp. 649-655, 2001.
Katkovnik, V., “A new method for varying adaptive bandwidth selection”, IEEE Trans. on Signal Proc., vol. 47, no. 9, pp. 2567-2571, 1999.
Full list of publictions