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Bibliografie

GA13-29225S

  1. Honarvar Shakibaei Asli B., Flusser Jan :  Image Deconvolution in the Moment Domain , Moments and Moment Invariants: Theory and Applications, p. 111-125 , Eds: Papakostas G. A. [2014] Download DOI: 10.15579/gcsr.vol1.ch5
  2. Šroubek Filip, Flusser Jan :  Removing camera shake in smartphones without hardware stabilization , Motion Deblurring: Algorithms and Systems, p. 100-122 , Eds: Rajagopalan A. N., Chellappa Rama [2014] Download

  1. Kotera Jan, Šmídl Václav, Šroubek Filip :  Blind Deconvolution With Model Discrepancies , IEEE Transactions on Image Processing vol.26, 5 (2017), p. 2533-2544 [2017] Download DOI: 10.1109/TIP.2017.2676981
  2. Soukup Jindřich, Císař P., Šroubek Filip :  Segmentation Method of Time-Lapse Microscopy Images with the Focus on Biocompatibility Assessment , Microscopy and Microanalysis vol.22, 3 (2016), p. 497-506 [2016] Download DOI: 10.1017/S143192761600074X
  3. 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 vol.264, 1 (2016), p. 153-166 [2016] Download DOI: 10.1016/j.forsciint.2016.04.027
  4. Šorel Michal, Šroubek Filip :  Fast convolutional sparse coding using matrix inversion lemma , Digital Signal Processing vol.55, 1 (2016), p. 44-51 [2016] Download DOI: 10.1016/j.dsp.2016.04.012
  5. Tichý Ondřej, Šmídl Václav :  Non-parametric Bayesian models of response function in dynamic image sequences , Computer Vision and Image Understanding vol.151, 1 (2016), p. 90-100 [2016] Download DOI: 10.1016/j.cviu.2015.11.010
  6. Šroubek Filip, Kamenický Jan, Lu Y. M. :  Decomposition of Space-Variant Blur in Image Deconvolution , IEEE Signal Processing Letters vol.23, 3 (2016), p. 346-350 [2016] Download DOI: 10.1109/LSP.2016.2519764
  7. Tichý Ondřej, Šmídl Václav, Šámal M. :  Model-based extraction of input and organ functions in dynamic scintigraphic imaging , Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization vol.4, p. 135-145 [2016] Download DOI: 10.1080/21681163.2014.916229
  8. Tichý Ondřej, Šmídl Václav :  Estimation of Input Function from Dynamic PET Brain Data Using Bayesian Blind Source Separation , Computer Science and Information Systems vol.12, 4 (2015), p. 1273-1287 [2015] Download DOI: 10.2298/CSIS141201051T
  9. Suk Tomáš, Flusser Jan, Boldyš Jiří :  3D rotation invariants by complex moments , Pattern Recognition vol.48, 11 (2015), p. 3516-3526 [2015] Download DOI: 10.1016/j.patcog.2015.05.007
  10. Farokhi Sajad, Sheikh U.U., Flusser Jan, Yang Bo :  Near infrared face recognition using Zernike moments and Hermite kernels , Information Sciences vol.316, 1 (2015), p. 234-245 [2015] Download DOI: 10.1016/j.ins.2015.04.030
  11. Pedone M., Bayro-Corrochano E., Flusser Jan, Heikkilä J. :  Quaternion Wiener Deconvolution for Noise Robust Color Image Registration , IEEE Signal Processing Letters vol.22, 9 (2015), p. 1278-1282 [2015] Download DOI: 10.1109/LSP.2015.2398033
  12. Pedone M., Flusser Jan, Heikkila J. :  Registration of Images with N-fold Dihedral Blur , IEEE Transactions on Image Processing vol.24, 3 (2015), p. 1036-1045 [2015] Download DOI: 10.1109/TIP.2015.2390977
  13. Flusser Jan, Suk Tomáš, Boldyš Jiří, Zitová Barbara :  Projection Operators and Moment Invariants to Image Blurring , IEEE Transactions on Pattern Analysis and Machine Intelligence vol.37, 4 (2015), p. 786-802 [2015] Download DOI: 10.1109/TPAMI.2014.2353644
  14. Tichý Ondřej, Šmídl Václav :  Bayesian Blind Separation and Deconvolution of Dynamic Image Sequences Using Sparsity Priors , IEEE Transactions on Medical Imaging vol.34, 1 (2015), p. 258-266 [2015] Download DOI: 10.1109/TMI.2014.2352791
  15. Marrugo A., Millán M. S., Šorel Michal, Šroubek Filip :  Restoration of retinal images with space-variant blur , Journal of Biomedical Optics vol.19, 1 (2014) [2014] Download DOI: 10.1117/1.JBO.19.1.016023

  1. Šroubek Filip, Soukup Jindřich, Zitová Barbara :  Variational Bayesian Image Reconstruction with an Uncertainty Model for Measurement Localization , Proc. 2016 24th European Signal Processing Conference (EUSIPCO), p. 723-727, 24th European Signal Processing Conference (EUSIPCO), (Budapest, HU, 29.08.2016-02.09.2016) [2016] Download DOI: 10.1109/EUSIPCO.2016.7760343
  2. Bílková Zuzana, Soukup Jindřich, Kučera V. :  Cell Segmentation Using Level Set Methods with a New Variance Term , Image Analysis and Recognition : 13th International Conference, ICIAR 2016, p. 183-190, International Conference Image Analysis and Recognition 2016, (Póvoa de Varzim, PT, 20160713) [2016] Download DOI: 10.1007/978-3-319-41501-7_21
  3. Tichý Ondřej :  Bayesian Blind Source Separation in Dynamic Medical Imaging, CTU v Praze, (Praha 2015) [2015] Download
  4. Hradiš M., Kotera Jan, Zemčík P., Šroubek Filip :  Convolutional Neural Networks for Direct Text Deblurring , Proceedings of BMVC 2015, The British Machine Vision Conference (BMVC) 2015 /26./, (Swansea, GB, 07.09.2015-10.09.2015) [2015] Download
  5. Kotera Jan, Zitová Barbara, Šroubek Filip :  PSF accuracy measure for evaluation of blur estimation algorithms , Proceedings of the 2015 IEEE International Conference on Image Processing, ICIP 2015, p. 2080-2084, IEEE International Conference on Image Processing 2015, ICIP 2015, (Québec City, CA, 27.09.2015-30.09.2015) [2015] Download DOI: 10.1109/ICIP.2015.7351167
  6. Novozámský Adam, Sedlář Jiří, Zita Aleš, Šroubek Filip, Flusser Jan, Švec J. G., Vydrová J., Zitová Barbara :  Image Analysis of Videokymographic Data , Proceedings of the 2015 IEEE International Conference on Image Processing, ICIP 2015, p. 78-82, IEEE International Conference on Image Processing 2015, ICIP 2015, (Québec City, CA, 27.09.2015-30.09.2015) [2015] Download DOI: 10.1109/ICIP.2015.7350763
  7. Tichý Ondřej, Šmídl Václav :  Variational Blind Source Separation Toolbox and its Application to Hyperspectral Image Data , Proceedings of the 23rd European Signal Processing Conference (EUSIPCO 2015), p. 1336-1340, 23rd European Signal Processing Conference (EUSIPCO), (Nice, FR, 31.08.2015-04.09.2015) [2015] Download DOI: 10.1109/EUSIPCO.2015.7362599
  8. Tichý Ondřej, Šmídl Václav :  Bayesian Blind Source Separation with Unknown Prior Covariance , Latent Variable Analysis and Signal Separation, p. 352-359 , Eds: Vincent E., Yeredor A., Koldovský Z., Tichavský P., 12th International Conference on Latent Variable Analysis and Signal Separation, (Liberec, CZ, 25.08.2015-28.08.2015) [2015] Download DOI: 10.1007/978-3-319-22482-4_41
  9. 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, International Symposium on Medical Information Processing and Analysis 2014 /10./, (Cartagena de Indias, CO, 10.10.2014-16.10.2014) [2015] Download DOI: 10.1117/12.2073820
  10. Tichý Ondřej :  On Sparsity in Bayesian Blind Source Separation for Dynamic Medical Imaging , Rektorysova Soutěž, p. 20-21, Rektorysova Soutěž, (Praha, CZ, 3.12.2014) [2014] Download
  11. Soukup Jindřich, Lašan M., Šroubek Filip :  Segmentation of Individual Cells in Phase Contrast Microscopy Images , Proceedings of the 18th Conference on Medical Image Understanding and Analysis, p. 185-190 , Eds: Reyes-Aldasoro Constantino Carlos, Slabaugh Greg, Medical Image Understanding and Analysis 2014, (London, GB, 09.07.2014-11.07.2014) [2014] Download
  12. Šroubek Filip, Šmídl Václav, Kotera Jan :  Understanding image priors in blind deconvolution , 2014 IEEE International Conference on Image Processing, p. 4492-4496, 2014 IEEE International Conference on Image Processing, (Paris, FR, 27.10.2014-30.10.2014) [2014] Download DOI: 10.1109/ICIP.2014.7025911
  13. Tichý Ondřej, Šmídl Václav :  Kinetic Modeling of the Dynamic PET Brain Data Using Blind Source Separation Methods , The 2014 7th International Conference on BioMedical Engineering and Informatics, p. 244-249, The 2014 7th International Conference on BioMedical Engineering and Informatics, (Dalian, CN, 14.10.2014-16.10.2014) [2014] Download DOI: 10.1109/BMEI.2014.7002794
  14. 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, Novel Optical Systems Design and Optimization XVII, (San Diego, US, 17.08.2014-21.08.2014) [2014] Download DOI: 10.1117/12.2062322
  15. Höschl Cyril, Flusser Jan :  Noise Resistant Image Retrieval , Proceedings of the 22nd International Conference on Pattern Recognition (ICPR 2014), p. 2972-2977, 22nd International Conference on Pattern Recognition, (Stockholm, SE, 22.08.2014-28.08.2014) [2014] Download DOI: 10.1109/ICPR.2014.513
  16. Šindelář Ondřej, Šroubek Filip, Milanfar P. :  Space-variant image deblurring on smartphones using inertial sensors , CVPRW 2014 : Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops 2014, p. 191-192, IEEE Conference on Computer Vision and Pattern Recognition Workshops, (Columbus, US, 23.06.2014-28.06.2014) [2014] Download DOI: 10.1109/CVPRW.2014.34
  17. Šorel Michal :  Mathematics in image processing , SNA´14 - Seminar on Numerical Analysis , p. 110-122 , Eds: Bílková H., Rozložník M., Tichý P., SNA ’14. Seminar on Numerical Analysis, (Nymburk, CZ, 27.01.2014-31.01.2014) [2014] Download
  18. 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, 8th Iberoamerican Optics Meeting and 11th Latin American Meeting on Optics, Lasers, and Applications, (Porto, PT, 22.07.2013-26.07.2013) [2013] Download DOI: 10.1117/12.2025134
  19. Šroubek Filip :  Recent Advances in Image Restoration , IEEE Second International Conference on Image Information Processing (ICIIP -2013), 2013 IEEE Second International Conference on Image Information Processing, (Shimla, IN, 09.12.2013-11.12.2013) [2013] Download
  20. Tichý Ondřej, Šmídl Václav, Šámal M. :  Model-based Extraction of Input and Organ Functions in Dynamic Medical Imaging , Computational Vision and Medical Image Processing (VipIMAGE 2013), p. 75-80, IV ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing, (Funchal, PT, 14.10.2013-16.10.2013) [2013] Download
  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, International conference on image processing, ICIP 2013, (Melbourne, AU, 15.09.2013-18.09.2013) [2013] Download DOI: 10.1109/ICIP.2013.6738119
  22. Šmídl Václav, Tichý Ondřej :  Sparsity in Bayesian Blind Source Separation and Deconvolution , Machine Learning and Knowledge Discovery in Databases, p. 548-563, The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD 2013), (Praha, CZ, 24.09.2013-26.09.2013) [2013] Download DOI: 10.1007/978-3-642-40991-2_35
  23. Kotera Jan, Šroubek Filip, Milanfar P. :  Blind Deconvolution Using Alternating Maximum a Posteriori Estimation with Heavy-Tailed Priors , Computer Analysis of Images and Patterns, p. 59-66 , Eds: Wilson Richard, Bors Adrian, Hancock Edwin, Smith William, Computer Analysis of Images and Patterns, (York, GB, 27.08.2013-29.08.2013) [2013] Download
  24. Soukup Jindřich, Císař P., Šroubek Filip :  Segmentation of Time-Lapse Images with Focus on Microscopic Images of Cells , Image Analysis and Processing – ICIAP 2013, p. 71-80 , Eds: Petrosino A., International Conference on Image Analysis and Processing, (Naples, IT, 11.09.2013-13.09.2013) [2013] Download DOI: 10.1007/978-3-642-41184-7_8
  25. Tichý Ondřej, Šmídl Václav :  Convolution Model of Time-activity Curves in Blind Source Separation, UTIA AV ČR, (Praha 2013) Research Report 2330 [2013] Download