Karel Fliegel
e-mail: fliegek@fel.cvut.cz office(s): T2:B3-556 phone(s): +420 224 352 026 fax(es): +420 233 339 801

Position:

  • Assistant Professor

Degrees:

  • Ing. (M.Sc.): 2004, Czech Technical University in Prague, Faculty of Electrical Engineering
  • Ph.D.: 2011, Czech Technical University in Prague, Faculty of Electrical Engineering

Networks:

SUMMARY:

  • Karel Fliegel was born in Prague, Czech Republic, in 1979. He graduated from the Technical High School of Communication Means Prague, specialization Audiovisual Technology, in 1998. After that, he obtained the Electrical Engineering degree (M.Sc.) with distinction in Radioelectronics, specialization in Audiovisual Technology from the Czech Technical University in Prague (CTU), Faculty of Electrical Engineering (FEE) in 2004.
  • His diploma work entitled “Modeling of Image Sensor Characteristics in Matlab” was awarded by the dean of the FEE. He enrolled the doctoral study program at the CTU FEE in 2004 and finished the obligatory part of his studies in 2007. Since then he was a postgraduate doctoral candidate at the CTU FEE working towards his Ph.D. He has defended his doctoral thesis entitled "Modeling of visual perception of image impairment features" in 2011.
  • Karel Fliegel is with the CTU FEE Department of Radioelectronics, Multimedia Technology Group (MMTG) since 2004 where he worked as a doctoral assistant. Since 2007 he holds a position of an assistant professor at the same department. He has been responsible for laboratory practices and lectures in numerous courses with specialization in photonics, television, multimedia technology, image and signal processing. Under his supervision, many students successfully finished their master or bachelor qualification works. He has been a member of several Final State Exam Commissions.
  • His research interests include areas of multimedia technology, image processing, subjective and objective image quality assessment, HVS modeling and applied image photonics. He has substantial expertise in implementation and optimization of advanced image processing algorithms and design and testing of imaging systems. He is author or co-author of numerous scientific publications. He has been a member of research teams within various European and Czech grant projects or research programs especially in the area of image processing. He is a member of the IEEE, SPIE, and member of the Executive Committee of the Czech and Slovak Society for Photonics (CSSF).

SUPERVISED AND SUCCESSFULLY DEFENDED DOCTORAL THESES (1):

SUPERVISED AND SUCCESSFULLY DEFENDED MASTER THESES (48):

(Theses denoted with asterisk (*) were awarded for excellence at least at the faculty level.)
  • Krupička Martin, Performance verification of high dynamic range image compression methods, 2017.
  • Melechovský Tomáš, Image reconstruction methods for spatially variant imaging systems, 2017.
  • Mohl Martin, Video inspection of master copper discs for mechanical sound recording, 2017.
  • Pokorný Tomáš, Methods for measuring the basic characteristics of the human vision, 2016.
  • Vrtiaková Jana, Detection of manipulated images, 2016.
  • Inneman David, Software tools for autostereoscopic display, 2015.
  • Štemberg Jan, System for acquisition of panoramic photos with high resolution, 2015. (*)
  • Dlouhý Jan, Objective steroscopic image quality assessment, 2014.
  • Javorský Petr, Advanced standards for video compression, 2014.
  • Röhrich David, Methods of 2D-to-3D video conversion, 2014.
  • Štěpánová Jana, White balance correction in digital video, 2014.
  • Štych Marek, Video restoration techniques for archived records, 2014.
  • Zdvihal Stanislav, Methodology for the subjective image quality assessment, 2014.
  • Buchta Jiří, Advanced image reconstruction methods, 2013.
  • Čermák Ondřej, Advanced methods for high dynamic range image processing, 2013.
  • Haščák Slavomír, Subjective image quality assessment, 2013.
  • Lukeš Tomáš, Super-resolution methods for digital image and video processing, 2013. (*)
  • Pešout Pavel, Color image denoising, 2013.
  • Popelka Václav, Video streaming technologies, 2013.
  • Rautenkranc Petr, Methods for compression of images with high dynamic range, 2013.
  • Richterová Lenka, Objective image quality assessment, 2013.
  • Řežábek Pavel, Algorithms for suppression of image distortion in digital cameras, 2013.
  • Sedlák Pavel, Algorithms for stereoscopic image processing in multimedia technology, 2013.
  • Dudák Jan, Saliency models for distorted images, their analysis and optimization of image compression methods, 2012.
  • Hirič Dalibor, Algorithms for image resolution enhancement, 2012.
  • Kahl Jan, Acquisition and reproduction of stereoscopic images, 2012.
  • Kanta Michal, Advanced methods for the white balance in digital photography, 2012.
  • Pravda Radek, Computer controlled camera with geometric distortion correction, 2012.
  • Slavkovský Tomáš, Image coding based on analysis of eye movement, 2012.
  • Grillová Eva, High dynamic range image sensing and processing, 2011.
  • Huneš David, Traffic sign detection and classification, 2011.
  • Janecký Jiří, Advanced methods for temporal interpolation of video, 2011.
  • Knap Lukáš, Advanced methods and standards for video compression, 2011.
  • Mašek Ondřej, Processing, coding and transmission of stereoscopic video, 2011.
  • Nedvěd Jan, Advanced digital image keying methods, 2011.
  • Šebek Martin, Advanced methods for noise suppression in images, 2011.
  • Šimůnek Michal, Attention driven image coding, 2011.
  • Benedikt Martin, Digital camera image processing, 2010.
  • Havlín Josef, Measurement of digital camera parameters, 2010.
  • Moravec Jan, Interpolation methods for HDTV, 2010.
  • Palla Radek, Methods for spatial resolution improvement of image sensor, 2010.
  • Dejmek Petr, Testing system for lossy image compression algorithms, 2009.
  • Francek Lukáš, Audio/video synchronization problems in the professional television practice, 2009.
  • Helleu Loic, Advanced image reconstruction algorithms, 2009.
  • Novotný Radovan, Testing system for digital cameras, 2009.
  • Sládek Lukáš, Image reconstruction of compressed video, 2009.
  • Bělovský Lukáš, Dynamic range expansion of digital camera, 2008.
  • Oravec Jan, Image quality assessment in high dynamic range imaging systems, 2008.
  • Tomšů Petr, Applications of Artificial Neural Networks for Image Compression, 2005.

SUPERVISED AND SUCCESSFULLY DEFENDED BACHELOR THESES (33):

(Theses denoted with asterisk (*) were awarded for excellence at least at the faculty level.)
  • Breitkopf Jiri, Demonstration system for acquisition of stereoscopic video, 2015.
  • Švihálek Jan, Processing of RAW image data obtained from digital camera, 2015.
  • Tačík Jan, High dynamic range display, 2015.
  • Toman Jan, Compression of stereoscopic video, 2015.
  • Adolf Jindřich, Performance comparison of advanced video coding standards, 2014.
  • Bolek Michal, High dynamic range video acquisition and processing, 2014.
  • Kostelníčková Iveta, Archived film records and their restoration, 2014. (*)
  • Krupička Martin, Image processing for auto-stereoscopic display, 2014. (*)
  • Melechovský Tomáš, Measurement of auto-stereoscopic display parameters, 2014.
  • Pokorný Tomáš, Automation of subjective image quality assessment, 2014.
  • Fabián Petr, Measurement of parameters of miniature digital cameras, 2013.
  • Gruber Bohuslav, Parameter measurement methods for current displays, 2013.
  • Inneman David, Demonstration system for color spaces, 2013.
  • Strnad Oldřich, Performance comparison of advanced standards for video compression, 2013.
  • Fridrich Tomáš, System for measuring parameters of digital cameras built into mobile phones, 2012.
  • Kolomazník Jan, Measurement of basic parameters of advanced displays, 2012.
  • Mádr Vojtěch, Subjective quality testing of compressed video streams for low bitrates, 2012.
  • Malý Jakub, Digitization and reconstruction of analog images, 2012.
  • Procházková Helena, Analysis of the transfer parameters in real imaging systems, 2012.
  • Röhrich David, Technology for displaying stereoscopic images, 2012.
  • Štěpánová Jana, Subjective and objective measurement of color, 2012.
  • Zdvihal Stanislav, Measurement and calibration of color displays, 2012.
  • Kapsia Petr, System for measurement of exposure time in digital still camera, 2011.
  • Nedvěd Jan, Calibration of digital still camera for special applications, 2011.
  • Pšenička Petr, System for acquisition of panoramic photography, 2011.
  • Rautenkranc Petr, System for measurement of digital camera parameters, 2011.
  • Kassab Alaa, Image enhancement algorithms, 2010.
  • Lukeš Tomáš, Capturing and reproduction of stereoscopic images, 2010.
  • Čermák Ondřej, Digitization of analog images, 2009.
  • Hruška Adam, Digital photo camera as an optical measuring device, 2008.
  • Choueiry Youssef, Advanced video compression algorithms, 2008.
  • Lenaiyara Nixon Lenana, Image processing methods for dynamic range expansion, 2008.
  • Bělovský Lukáš, Artificial neural networks in image processing, 2005.

TEACHING:

  • Signals and systems (A2B99SAS, AE2B99SAS)
  • Digital signal processing (A2M99CZS)
  • Signals in multimedia (A2M31SMU)
  • Image technology (A2M37OBT, AE2M37OBT)
  • Advanced areas in image and video technology (A0M37MOT, AE0M37MOT)
  • Methods and Devices (HW+SW) for Processing, Compression and Recording of Image Signal (17MPMPZ)
fliegel

List of Publications

2017
2016
2015
2014
2013
  • T. Lukeš, K. Fliegel, M. Klíma, “Objective image quality assessment of multiframe super-resolution methods,” Radioelektronika (RADIOELEKTRONIKA), 2013 23rd International Conference, pp.267-272.

  • Anisimova, E, Fliegel K, Blazek M, Janout P, Jan B, Pata P, Vitek S, Svihlik J.  2013.  Analysis of images obtained from space-variant astronomical imaging systems. Proc. SPIE. 8856:885607-885607-11.

  • Lederer, S, Mueller C, Timmerer C, Concolato C, Le Feuvre J, Fliegel K.  2013.  Distributed DASH dataset. Proceedings of the 4th ACM Multimedia Systems Conference, MMSys 2013. :131-135.

  • Svihlik, J, Fliegel K.  2013.  Modeling of quantization noise in linear analog-to-digital converter. Proc. SPIE. 8856:885626-885626-6.

  • T. Lukeš, K. Fliegel, M. Klíma, “Performance evaluation of image quality metrics with respect to their use for super-resolution enhancement,” Quality of Multimedia Experience (QoMEX), 2013 Fifth International Workshop, pp. 42-43.

2012
  • Mojżíš, F, Švihlík J, Fliegel K, Kňazovická L, Jerhotová E. 2012. Measurement and Analysis of Real Imaging Systems. Radioengineering. 21:143–153.

  • Vítek, S, Fliegel K, Páta P, Koten P. 2012. Utilization of Image Intensifiers in Astronomy. Acta Polytechnica. 52:56–58.

  • Švihlík, J, Mojžíš F, Fliegel K, Kukal J. 2012. Wiener filtering in the process of dark current suppression. {Applications of Digital Image Processing XXXV}. :849925-1–849925-6.

  • Fliegel, K, Vítek S, Jindra T, Páta P, Klíma M. 2012. Comparison of stereoscopic technologies in various configurations. {Applications of Digital Image Processing XXXV}. :849929-1–849929-9.

  • Fliegel, K. 2012. Overview of Qualinet multimedia databases.

  • Fliegel, K. 2012. Qualinet multimedia database enabling QoE evaluations and benchmarking.

  • Anisimova, E, Páta P, Fliegel K, Klíma M. 2012. Comparison of the astronomical and multimedia image quality criteria. {Photonics Europe 2012: Optical Engineering, Imaging and Applications}. :843604-1–843604-8.

  • Švihlík, J, Fliegel K, Kukal J, Jehotová E, Páta P, Vítek S, Koten P.  2012.  Estimation of non-Gaussian noise parameters in the wavelet domain using the moment-generating function. Journal of Electronic Imaging. 21:023025-1–023025-15.

2011
  • Řeřábek, M, Páta P, Fliegel K. 2011. Enhancement of the accuracy of the astronomical measurements carried on the wide-field astronomical image data. {Applications of Digital Image Processing XXXIV}. :81351M-1–81351M-6.

  • Schindler, J, Páta P, Klíma M, Fliegel K. 2011. Astronomical Image Compression Techniques Based on ACC and KLT Coder. Acta Polytechnica. 51:97–102.

  • Vítek, S, Fliegel K, Páta P, Koten P. 2011. MAIA: Technical Development of a Novel System for Video Observations of Meteors. Acta Polytechnica. 51:109–111.

  • Fliegel, K, Švihlík J, Páta P, Vítek S, Koten P. 2011. Meteor automatic imager and analyzer: current status and preprocessing of image data. {Applications of Digital Image Processing XXXIV}. :81351S-1–81351S-7.

  • Fliegel, K, Vítek S, Klíma M, Páta P. 2011. Open source database of images DEIMOS: high dynamic range and stereoscopic content. {Applications of Digital Image Processing XXXIV}. :81351T-1–81351T-10.

  • Anisimova, E, Páta P, Blażek M, Fliegel K, Koten K, Vítek S. 2011. Wavelet Transform for Processing of Video from MAIA System. {Photonics, Devices, and Systems V}. 1:1–6.

  • Klíma, M. – Fliegel, K. – Páta, P. – Vítek, S. – Blažek, M. – et al.: DEIMOS – an Open Source Image Database. Radioengineering. 2011, vol. 20, no. 4, p. 1016-1023. ISSN 1210-2512.

  • Koten, P, Fliegel K, Vítek S, Páta P.  2011.  Automatic Video System for Continues Monitoring of the Meteor Activity. Earth, Moon, and Planets. 108:69–76.

  • Klíma, M, Fliegel K, Páta P, Vítek S, Blażek M, Dostál P, Krasula L, Kratochvíl T, Slanina M, Říčný V et al..  2011.  DEIMOS – an Open Source Image Database. Radioengineering. 20:1016–1023.

  • Švihlík, J, Fliegel K, Koten P, Vítek S, Páta P.  2011.  Noise Analysis of MAIA System and Possible Noise Suppression. Radioengineering. 20:110–117.

2010
  • Fliegel, K. 2010. Advances in 3D imaging systems: Are you ready to buy a new 3D TV set? Proceedings of 20th International Conference Radioelektronika 2010. :3–8.

  • Vítek, S, Koten P, Páta P, Fliegel K. 2010. Double-Station Automatic Video Observation of the Meteors. Advances in Astronomy. 2010:1–4.

  • Švihlík, J, Fliegel K, Páta P, Vítek S, Koten P. 2010. Meteor automatic imager and analyzer: analysis of noise characteristics and possible noise suppression. Applications of Digital Image Processing XXXIII. :779821-1–779821-9.

  • Fliegel, K, Páta P, Vítek S, Koten P. 2010. Meteor automatic imager and analyzer: system design and its parameters. Applications of Digital Image Processing XXXIII. :77982B-1–77982B-11.

  • Fliegel, K, Klíma M, Páta P. 2010. New open source image database for testing and optimization of image processing algorithms. Optics, Photonics, and Digital Technologies for Multimedia Applications. :77231P-1–77231P-8.

  • Fliegel, K, Páta P, Klíma M, Blažek M, Havlín J. 2010. Open source database of images DEIMOS: high dynamic range images. Applications of Digital Image Processing XXXIII. :77981G-1–77981G-7.

  • Fliegel, K. 2010. Prostorové zobrazování a 3DTV. Radiokomunikace 2010. :33–44.

  • Páta, P, Fliegel K, Klíma M, Blažek M, Řeřábek M. 2010. Utilization of consumer level digital cameras in astronomy. Applications of Digital Image Processing XXXIII. :77982H-1–77982H-12.

2009
  • Fliegel, K, Švihlík J. 2009. A utilization of GMM for scientific images modeling. {Applications of Digital Image Processing XXXII}. :74431R-1–74431R-12.

  • Fliegel, K, Rund F. 2009. Aktuální trendy ve velkoplošném zobrazování a prostorovém zvuku. {Radiokomunikace 2009}. :35–52.

  • Klíma, M, Fliegel K, Kekrt D, Dostál P, Podgorný R. 2009. Image Quality and QoE in Multimedia Systems. {Proceedings of 19th International Conference Radioelektronika 2009}. :3–10.

  • Fliegel, K, Havlín J. 2009. Imaging photometer with a non-professional digital camera. {Applications of Digital Image Processing XXXII}. :74431Q-1–74431Q-8.

  • Řeřábek, M, Páta P, Fliegel K, Koten P. 2009. Processing and Compression of Astronomical Images from optical All-Sky System. {4th EOS Topical Meeting on Advanced Imaging Techniques}. :66–67.

  • Kekrt, D, Klíma M, Fliegel K. 2009. Restoration of dichromatic images gained from CCD/CMOS camera by iterative detection networks with fragmented marginalization at the symbol block level. {Mathematics for Signal and Information Processing}. :74441A-1–74441A-12.

  • Fliegel, K. 2009. Spatially adaptive image quality metrics for perceptual image quality assessment. {Mathematics for Signal and Information Processing}. :744406-1–744406-8.

2008
  • Fliegel, K. 2008. Eyetracking based approach to objective image quality assessment. {Proceedings of 42nd Annual 2008 IEEE International Carnahan Conference on Security Technology}. :371–376.

  • Fliegel, K. 2008. Optimization of HVS based objective image quality assessment with eye tracking. {Mathematics of Data/Image Pattern Recognition, Compression, and Encryption with Applications XI}. :707506-1–707506-12.

  • Rund, F, Fliegel K. 2008. Pokroky v digitálním zpracování audio a video signálů – uživatelské hledisko. {Radiokomunikace 2008}. :67–82.

  • Kekrt, D, Klíma M, Fliegel K. 2008. The iterative detection network based suppression of the thermal noise and blurring due to object moving in black and white pictures shot by a camera with CCD/CMOS sensor. {Proceedings of SPIE – 7076 – Image Reconstruction from Incomplete Data V}. :70760M-1–70760M-9.

2007
  • Řeřábek, M, Páta P, Koten P, Fliegel K, Švihlík J. 2007. Space Variant Point Spread Function Modeling for Astronomical Image Data Processing. {Astronomical Adaptive Optics Systems and Applications III}. 6691:66910T-01–66910T-10.

  • Klíma, M, Páta P, Fliegel K, Hanzlík P. 2007. Image Quality Evaluation in Security Imaging Systems. IEEE Aerospace and Electronic Systems Magazine. 22:22–25.

  • Fliegel, K, Švihlík J. 2007. An Efficient Method of Noise Suppression in Security Systems. {Applications of Digital Image Processing XXX}. :66960I-01–66960I-10.

  • Klíma, M, Pazderák J, Fliegel K. 2007. Examples of Subjective Image Quality Enhancement in Multimedia. {Applications of Digital Image Processing XXX}. :66961N-01–66961N-09.

  • Klíma, M, Fliegel K, Švihlík J. 2007. Experimental Verification of a Posteriori Quality Enhancement of Security Images. {Proceedings 2007 41th IEEE International Carnahan Conference on Security Technology}. :313–319.

  • Fliegel, K. 2007. Perceptual Assessment of Image Quality in Multimedia Technology. {Mathematics of Data/Image Pattern Recognition, Compression, Coding, and Encryption X, with Applications}. :670008-01–670008-08.

  • Rund, F, Fliegel K. 2007. Počítačově podporovaná výuka v oblasti multimediální techniky. {Technical Computing Prague 2007}.

  • Fliegel, K, Švihlík J. 2007. Potlačení obrazového šumu ve videozáznamu z bezpečnostních kamer. {Technical Computing Prague 2007}.

2006
  • Fliegel, K. 2006. Proč a jak modelovat lidské vidění pro potřeby odhadu kvality obrazu a návrh medicínských zobrazovacích systémů. Lékař a technika. 36:24–30.

  • Fliegel, K. 2006. A Method for Objective Image Quality Assesment Utilizing Artificial Neural Network with Enhanced Data Preprocessing. {Radioelektronika 2006 – Conference Proceedings}. :230–233.

  • Fliegel, K. 2006. A model utilizing artificial neural network for perceptual image quality assessment in image compression algorithms. {Mathematics of Data/Image Pattern Recognition, Compression, and Encryption with Applications IX}. :631507-1–631507-10.

  • Fliegel, K. 2006. Advanced HVS model for perceptually optimized video encoder. {Seminář o řešení projektu GA ČR 102/03/H109 v roce 2006}. :41–44.

  • Fliegel, K. 2006. Advanced Image Quality Assessment Approach using Multiple Quality Measures with the Artifical Neural Network Data Processing Support. {Photonics, Devices, and Systems III}. :1Z-1–1Z-6.

  • Fliegel, K, Švihlík J, Řeřábek M. 2006. Design of CMOS-APS Smart Imagers with Mixed Signal Processing and Analysis of their Transfer Characteristics. {Infrared Detectors and Focal Plane Arrays VIII}. :62950R-1–62950R-12.

  • Fliegel, K. 2006. Efficient Model for Image Quality Assessment Utilizing Artificial Neural Network. {Radio-Electronics, Electrical and Power Engineering}. 1:125–126.

  • Fliegel, K. 2006. Image and Video Processing for Image Quality Evaluation Using Artificial Neural Network. {Proceedings of Workshop 2006}. A:150–151.

  • Fliegel, K. 2006. Modeling of Visual Perception of Image Impairment Features. {POSTER 2006}. :1–5.

  • Hozman, J, Fliegel K. 2006. Program pro modelování a simulaci přenosových vlastností obrazových senzorů.

  • Klíma, M, Fliegel K, Švihlík J. 2006. Quality Enhancement in Security Image Information. {Proceedings of the 40th IEEE International Carnahan Conference on Security Technology}. :60–67.

2005
  • Fliegel, K. 2005. A Novel Method for Objective Image Quality Assessment using Artificial Neural Network. {Seminář o řešení projektu GA ČR 102/03/H109 v roce 2005}. :40–42.

  • Fliegel, K. 2005. Advanced Image Quality Assessment Approach using Multiple Quality Measures with the Artifical Neural Network Data Processing Support. {Photonics Prague 2005}. :151.

  • Fliegel, K. 2005. Evaluation of the Image Compression Specific Distortion Impact on Image Quality.

  • Fliegel, K. 2005. H.264 – Moderní standard pro kompresi videa. Slaboproudý obzor. 61:1–7.

  • Fliegel, K. 2005. Image Quality Assessment Tool with the Artificial Neural Network. {Applied Electronics 2005 – International Conference Pilsen}. :109–112.

  • Fliegel, K. 2005. Image Quality Assessment Using Oriented Multichannel Pyramidal Decomposition and Artificial Neural Network Data Postprocessing. {Radioelektronika 2005 – Conference Proceedings}. :175–178.

  • Klíma, M, Páta P, Fliegel K. 2005. Image Quality Evaluation in Applied TV Security Systems. {Radioelektronika 2005 – Conference Proceedings}. :61–64.

  • Fliegel, K. 2005. Novel Approach to the Image Quality Assessment Using Oriented Multichannel Decomposition and Artificial Neural Network Data Postprocessing. {9th International Student Conference on Electrical Engineering}.

  • Fliegel, K. 2005. Objective Image Quality Evaluation Using Artificial Neural Network. {Proceedings of Workshop 2005}. :376–377.

  • Fliegel, K. 2005. Smart Imagers and Their Characteristics. {Proceedings of SPIE – Smart Imagers and Their Application}. :151–162.

  • Fliegel, K. 2005. Subjective and Objective Video Quality Assesment in the Field of Security Technology. {Radio-Electronics, Electrical and Power Engineering}. :103–104.

  • Klíma, M, Páta P, Fliegel K, Hanzlík P. 2005. Subjective Image Quality Evaluation in Security Imaging Systems. {Proc. of 39 IEEE ICCST}. :19–22.

2004
  • Fliegel, K. 2004. Modeling and Measurement of Image Sensors Characteristics. Radioengineering. 13:27–34.

  • Fliegel, K. 2004. Charakteristiky obrazových snímačů v modelech a měření. {Sborník příspěvků konference RADEŠ{\’ I}N 2004}. :35–36.

  • Klíma, M, Fliegel K. 2004. Image Compression Techniques in the Field of Security Technology: Examples and Discussion. {Proceedings of the 38th ANNUAL 2004 International Carnahan Conference on Security Technology}. :278–284.

  • Klíma, M, Fliegel K. 2004. Image Compression Techniques in the Field of Security Technology: Examples and Discussion. {Proceedings of the 38th ANNUAL 2004 International Carnahan Conference on Security Technology}. :278–284.

  • Fliegel, K. 2004. Image Sensor Characteristics . {Digital Technologies 2004}. :146–151.

  • Fliegel, K. 2004. Kvalitativní aspekty obrazových systémů. {Seminář o řešení projektu GA ČR 102/03/H109}. :39–41.

  • Fliegel, K. 2004. Modelování a měření charakteristik obrazových snímačů. {MATLAB 2004 – Sborník příspěvků 12. ročníku konference}. 1-2:113–122.

  • Hozman, J, Fliegel K. 2004. Optimal Sampling Structure of Image Sensors from the Point of View of Image Quality. {Proceedings of 11th International Workshop on Systems, Signals and Image Processing ambient multimedia}. :371–374.

  • Fliegel, K. 2004. Přenosové charakteristiky snímacích soustav. {Mikroskopie 2004 }. :29–38.

2003
  • Hozman, J, Fliegel K, Vítek S, Páta P. 2003. The Effect of Image Sensor Configurations on Image Quality. {Recent Trends in Multimedia Information Processing}. :272–275.