RNDr. Michal Šorel, Ph.D.

research fellow

Michal Šorel
Research interests: space-variant restoration, image stabilization, deblurring, noise reduction, super-resolution, blind deconvolution, image registration, machine learning, digital image processing and pattern recognition in general, remote sensing, satellite imaging

Biography

Publication list

 

Michal Šorel received the M.Sc. and Ph.D. degrees in computer science from the Charles University in Prague, Czech Republic, in 1999 and 2007, respectively. From 2012 to 2013 he worked on a range of research topics in light-field imaging at the Heriot-Watt University in Edinburgh, Scotland and the University of Bern, Switzerland. Currently he is a research fellow in the Institute of Information Theory and Automation, Academy of Sciences of the Czech Republic. Michal Šorel has been a reviewer for the IEEE Transactions on Image Processing, IEEE Transactions on Signal Processing, IEEE Transactions on Pattern Analysis and Machine Intelligence, and several other journals and conferences. He organizes the Spring and Winter Schools of Image Processing (https://www.utia.cas.cz/marianska). 

 

Currently supervised theses and research projects

  • Tereza Fucsiková, Fatigue and pose monitoring of vehicle drivers (Monitoring únavy a pozice řidiče) (diploma thesis)

Recent

  • Tereza Fucsiková, Detection of incorrect body posture while working at a computer from a video (research project, 2024)
  • Emanuel Frátrik, Land use/land cover detection using Sentinel satellite data (diploma thesis, 2024)
  • Václav Lamich, Cloud detection in satellite images using machine learning algorithms (master thesis, 2023)
  • Antonín Čech, Soil moisture estimations from the optical data of Sentinel-2 satellites (Odhad vlhkosti půdy z optických dat družic Sentinel-2, research project, 2022)
  • Emanuel Frátrik, Detekce využití a pokrytí krajiny pomocí dat ze satelitů Sentinel (Land use/land cover detection using Sentinel satellite data) (research project, 2022)
  • Dominik Rathan, Evaluation of sleep quality from infrared video (bachelor thesis, 2021)
  • Emanuel Frátrik, Algorithms for image data processing from Sentinel satellites (bachelor thesis, 2021)
  • Adam Novotný, Satellite data analysis using machine learning methods (master thesis, 2021)

 

Books and chapters

  1. Šorel Michal, Šroubek Filip: Restoration in the presence of unknown spatially varying blur, Image Restoration: Fundamentals and Advances, p. 63-88, Eds: Gunturk Bahadir, Li Xin Download DOI: 10.1201/b12693-4 [2012]
  2. Šroubek Filip, Šorel Michal: Blind Deconvolution Imaging, Optical and Digital Image Processing : Fundamentals and Applications, p. 529-548, Eds: Cristobal G., Schelkens P., Thienpont H. [2011]
  3. Šorel Michal, Šroubek Filip, Flusser Jan: Towards super-resolution in the presence of spatially varying blur, Super-resolution imaging, p. 1-38 Download DOI: 10.1201/9781439819319-8 [2010]
  4. Šorel Michal, Šroubek Filip, Flusser Jan: Recent Advances in Space-Variant Deblurring and Image Stabilization, Unexploded ordnance detection and mitigation, p. 259-272 Download DOI: 10.1007/978-1-4020-9253-4_13 [2009]

Journal articles

  1. Zita Aleš, Novozámský Adam, Zitová Barbara, Šorel Michal, Herbst Ch., Vydrová J., Švec J. G.: Videokymogram Analyzer Tool: Human-computer comparison, Biomedical Signal Processing and Control 78 Download Download DOI: 10.1016/j.bspc.2022.103878 [2022]
  2. Šroubek Filip, Šorel Michal, Žák J.: Precise International Roughness Index Calculation, International Journal of Pavement Research and Technology 15 6 (2022), p. 1413-1419 Download Download DOI: 10.1007/s42947-021-00097-z [2022]
  3. Bartoš Michal, Rajmic P., Šorel Michal, Mangová M., Keunen O., Jiřík Radovan: Spatially regularized estimation of the tissue homogeneity model parameters in DCE‐MRI using proximal minimization, Magnetic Resonance in Medicine 82 6 (2019), p. 2257-2272 Download DOI: 10.1002/mrm.27874 [2019]
  4. Novosadová M., Rajmic P., Šorel Michal: Orthogonality is superiority in piecewise-polynomial signal segmentation and denoising, EURASIP Journal on Advances in Signal Processing 2019 Download Download DOI: 10.1186/s13634-018-0598-9 [2019]
  5. Novozámský Adam, Šorel Michal: Detection of Copy-move Image Modification Using JPEG Compression Model, Forensic Science International 283 1 (2018), p. 47-57 Download DOI: 10.1016/j.forsciint.2017.11.031 [2018]
  6. Šorel Michal, Bartoš Michal: Fast Bayesian JPEG Decompression and Denoising With Tight Frame Priors, IEEE Transactions on Image Processing 26 1 (2017), p. 490-501 Download DOI: 10.1109/TIP.2016.2627802 [2017]
  7. Kamenický Jan, Bartoš Michal, Flusser Jan, Mahdian Babak, Kotera Jan, Novozámský Adam, Saic Stanislav, Šroubek Filip, Šorel Michal, Zita Aleš, Zitová Barbara, Šíma Z., Švarc P., Hořínek J.: PIZZARO: Forensic analysis and restoration of image and video data, Forensic Science International 264 1 (2016), p. 153-166 Download DOI: 10.1016/j.forsciint.2016.04.027 [2016]
  8. Šorel Michal, Šroubek Filip: Fast convolutional sparse coding using matrix inversion lemma, Digital Signal Processing 55 1 (2016), p. 44-51 Download DOI: 10.1016/j.dsp.2016.04.012 [2016]
  9. Marrugo A., Millán M. S., Šorel Michal, Šroubek Filip: Restoration of retinal images with space-variant blur, Journal of Biomedical Optics 19 1 (2014) Download DOI: 10.1117/1.JBO.19.1.016023 [2014]
  10. Olivas S. J., Šorel Michal, Ford J.: Platform motion blur image restoration system, Applied Optics 51 34 (2012), p. 8246-8256 Download DOI: 10.1364/AO.51.008246 [2012]
  11. Marrugo A., Millán M. S., Cristóbal G., Gabarda S., Šorel Michal, Šroubek Filip: Toward computer-assisted diagnosis and telemedicine in ophthalmology, SPIE Newsroom 2012 6 (2012), p. 1-3 Download DOI: 10.1117/2.1201205.004256 [2012]
  12. Šorel Michal: Removing Boundary Artifacts for Real-Time Iterated Shrinkage Deconvolution, IEEE Transactions on Image Processing 21 4 (2012), p. 2329-2334 Download DOI: 10.1109/TIP.2011.2176344 [2012]
  13. Marrugo A., Šorel Michal, Šroubek Filip, Millan M.: Retinal image restoration by means of blind deconvolution, Journal of Biomedical Optics 16 11 (2011) Download DOI: 10.1117/1.3652709 [2011]
  14. Šorel Michal, Šroubek Filip, Flusser Jan: Multichannel deblurring of digital images, Kybernetika 47 3 (2011), p. 439-454 Download [2011]
  15. Šorel Michal, Flusser Jan: Space-Variant Restoration of Images Degraded by Camera Motion Blur, IEEE Transactions on Image Processing 17 2 (2008), p. 105-116 Download [2008]
  16. Šorel Michal, Flusser Jan: Restoration of color images degraded by space-variant motion blur, Lecture Notes in Computer Science 2007 4673 (2007), p. 450-457 Download [2007]
  17. Šorel Michal, Šíma Jiří: Robust RBF Finite Automata, Neurocomputing 62, p. 93-110 DOI: 10.1016/j.neucom.2003.12.005 [2004]

Other publications

  1. Zita Aleš, Greško Šimon, Novozámský Adam, Šorel Michal, Zitová Barbara, Švec J. G., Vydrová J.: Automatic Estimation of Mucosal Waves Lateral Peak Sharpness – Modern Approach, IS&T International Symposium on Electronic Imaging 2023 Image Processing: Algorithms and Systems XXI Download DOI: 10.2352/EI.2023.35.9.IPAS-300 [2023]
  2. Zitová Barbara, Šorel Michal: Jak to v těch datech najít?, České uživatelské fórum Copernicus 2021 Download Download [2022]
  3. Bílková Zuzana, Šorel Michal: Projection methods for finding intersection of two convex sets and their use in signal processing problems, Image Processing: Algorithms and Systems XIX Download DOI: 10.2352/ISSN.2470-1173.2021.10.IPAS-226 [2021]
  4. Walner Hynek, Bartoš Michal, Mangová M., Keunen O., Bjerkvig R., Jiřík Radovan, Šorel Michal: Iterative Methods for Fast Reconstruction of Undersampled Dynamic Contrast-Enhanced MRI Data, World Congress on Medical Physics and Biomedical Engineering 2018, p. 267-271, Eds: Lhotská L., Sukupová L., Lacković I., Ibbott G.S. Download DOI: 10.1007/978-981-10-9035-6_48 [2019]
  5. Bartoš Michal, Šorel Michal, Jiřík Radovan: Time-efficient Fourier domain evaluation of pharmacokinetic model in dynamic contrast-enhanced magnetic resonance imaging, IFMBE Proceedings, Volume 68, Issue 1, p. 777-781 Download DOI: 10.1007/978-981-10-9035-6_143 [2019]
  6. Obr V., Přikryl M., Pokorný P., Hrubeš P., Langr M., Žák J., Šroubek Filip, Šorel Michal: Road resurfacing using industry 4.0 principles, Proceedings of the 36th International Communications Satellite Systems Conference (ICSSC) Download [2018]
  7. Novozámský Adam, Zita Aleš, Zitová Barbara, Šorel Michal, Švec J. G., Vydrová J.: Digital image processing for objective videokymography, World Congress on Medical Physics & Biomedical Engineering 2018, Book of Abstracts, p. 229-229, Eds: Lhotska Lenka, Sukupova Lucie Download [2018]
  8. Bartoš Michal, Šorel Michal, Mangová M., Rajmic P., Standara M., Jiřík Radovan: DCE-MRI Perfusion Analysis with L1-Norm Spatial Regularization, Joint Annual Meeting ISMRM-ESMRMB 2018. Book of Absdtracts. [2018]
  9. Novozámský Adam, Zita Aleš, Šorel Michal, Zitová Barbara, Švec J.G., Vydrová J.: Automatické hodnocení videokymografických záznamů pro časnou diagnostiku a prevenci nádorových onemocnění hlasivek (2017) Download [2017]
  10. Vydrová J., Švec J. G., Zitová Barbara, Novozámský Adam, Zita Aleš, Šorel Michal: METODIKA HODNOCENÍ PORUCH HLASU Z VIDEOKYMOGRAFICKÝCH ZÁZNAMŮ (2017) Download [2017]
  11. Zitová Barbara, Novozámský Adam, Zita Aleš, Šorel Michal, Švec J.G., Vydrová J.: VKGanalyzer: objective analysis of vocal fold vibrations, Proceedings of the AIMed 2017 (2017) Download [2017]
  12. Novozámský Adam, Šorel Michal: JPEG Compression Model in Copy-move Forgery Detection, Proceedings of the Seventh International Conference on Image Processing Theory, Tools and Applications Download DOI: 10.1109/IPTA.2017.8310139 [2017]
  13. Šorel Michal, Bartoš Michal: Efficient JPEG decompression by the alternating direction method of multipliers, Proceedings of the 23rd International Conference on Pattern Recognition (ICPR), p. 271-276 Download DOI: 10.1109/ICPR.2016.7899645 [2016]
  14. Zitová Barbara, Šroubek Filip, Kamenický Jan, Kotera Jan, Šorel Michal, Bartoš Michal, Flusser Jan, Šíma Z., Švarc P., Hořínek J.: Forensics image and video restoration, Abstract book of 7th European Academy of Forensic Science Conference Download [2015]
  15. Marrugo A., Millán M. S., Šorel Michal, Kotera Jan, Šroubek Filip: Improving the blind restoration of retinal images by means of point-spread-function estimation assessment, Proceedings of 10th International Seminar on Medical Information Processing and Analysis (SIPAIM) 2014 Download DOI: 10.1117/12.2073820 [2015]
  16. Zitová Barbara, Šroubek Filip, Flusser Jan, Kamenický Jan, Novozámský Adam, Mahdian Babak, Bartoš Michal, Saic Stanislav, Zita Aleš, Šorel Michal, Kotera Jan: PIZZARO - Prostředky pro identifikaci obrazového záznamového zařízení, autentifikaci a rekonstrukci obrazu (2014) Download [2014]
  17. Olivas Stephen J., Šorel Michal, Arianpour A., Stamenov I., Nikzad N., Schuster Glenn M., Motamedi N., Mellette William M., Stack Ron A., Johnson A., Morrison R., Agurok Ilya P., Ford Joseph E.: Digital image processing for wide-angle highly spatially variant imagers, Novel Optical Systems Design and Optimization XVII Download DOI: 10.1117/12.2062322 [2014]
  18. Šorel Michal: Mathematics in image processing, SNA´14 - Seminar on Numerical Analysis , p. 110-122, Eds: Bílková H., Rozložník M., Tichý P. Download [2014]
  19. Šorel Michal: Fast algorithms for Bayesian JPEG decompression, Proceedings of the 3rd SPLab Workshop 2013 [2013]
  20. Marrugo A., Millán M. S., Šorel Michal, Šroubek Filip: Blind restoration of retinal images degraded by space-variant blur with adaptive blur estimation, Proceedings ot the 8th Iberoamerican Optics Meeting and 11th Latin American Meeting on Optics, Lasers, and Applications Download DOI: 10.1117/12.2025134 [2013]
  21. Šroubek Filip, Šorel Michal, Horáčková Irena, Flusser Jan: Patch-based blind deconvolution with parametric interpolation of convolution kernels, Proceedings of the 2013 IEEE International Conference on Image Processing ICIP 2013, p. 577-581 Download DOI: 10.1109/ICIP.2013.6738119 [2013]
  22. Olivas S. J., Šorel Michal, Nikzad N., Ford J.: Platform Motion Blur Image Restoration System, Computational Optical Sensing and Imaging 2012, p. 1-3 Download [2012]
  23. Marrugo A., Millán M. S., Cristóbal G., Gabarda S., Šorel Michal, Šroubek Filip: Image analysis in modern ophthalmology: from acquisition to computer assisted diagnosis and telemedicine, Optics, Photonics, and Digital Technologies for Multimedia Applications II Download DOI: 10.1117/12.921299 [2012]
  24. Marrugo A., Šorel Michal, Šroubek Filip, Millán M. S.: Multichannel Blind Deconvolution in Eye Fundus Imaging, Proceedings of ISABEL'11, p. 1-4 Download [2011]
  25. Šorel Michal, Šroubek Filip: Space-variant deblurring using one blurred and one underexposed image, Proceedings of the IEEE 16th International Conference on Image Processing ICIP 2009, p. 157-160 Download [2009]
  26. Šroubek Filip, Šorel Michal, Boldyš Jiří, Šroubek J.: PET Image Reconstruction Using Prior Information from CT or MRI, Proceedings of the IEEE 16th International Conference on Image Processing ICIP 2009, p. 2493-2496 Download [2009]
  27. Šroubek Filip, Flusser Jan, Šorel Michal: Superresolution and blind deconvolution of video, Proceedings on the 19th International Conference on Pattern Recognition, p. 1-4 Download [2008]
  28. Šorel Michal: Multichannel blind restoration of images with space-variant degradations, MFF UK (Praha, 2007) Download [2007]
  29. Šorel Michal: Multichannel Blind Restoration of Images with Space-Variant Degradations, ÚTIA AV ČR (Praha, 2006) [2006]
  30. Šorel Michal, Flusser Jan: Simultaneous recovery of scene structure and blind restoration of defocused images, Proceedings of the Computer Vision Winter Workshop 2006. CVWW' 06, p. 40-45, Eds: Chum O., Franc V. Download [2006]
  31. Šorel Michal, Flusser Jan: Blind restoration of images blurred by complex camera motion and simultaneous recovery of 3D scene structure, Proceeding of the 2005 IEEE International Symposium on Signal Processing and Information Technology, p. 737-742 [2005]
  32. Šorel Michal, Šíma Jiří: Robust Implementation of Finite Automata by Recurrent RBF Networks, SOFSEM'2000: Theory and Practice of Informatics, p. 431-439, Eds: Hlaváč V., Jeffery K.G., Wiedermann J. DOI: 10.1007/3-540-44411-4_32 [2000]