Publikationen

Publikationen des Lehrstuhles Computational Imaging Systems

CIS Publikationen

  1. 2022

    1. Hinter den Kulissen. Martin Rettinger; Jajnabalkya Guhathakurta; Peter Gänz; Sven Simon and Mike Schlaich. Beton- und Stahlbetonbau 117, (April 2022). DOI: https://doi.org/10.1002/best.202200008
    2. An FPGA-Based Residual Recurrent Neural Network for Real-Time Video Super-Resolution. Kaicong Sun; Maurice Koch; Zhe Wang; Slavisa Jovanovic; Hassan Rabah and Sven Simon. IEEE Transactions on Circuits and Systems for Video Technology 32, 4 (2022), pp. 1739–1750. DOI: https://doi.org/10.1109/TCSVT.2021.3080241
    3. Fl-MISR: Fast Large-Scale Multi-Image Super-Resolution for Computed Tomography Based on Multi-GPU Acceleration. K. Sun; T. H. Tran; J. Guhathakurta and S. Simon. Journal of Real-Time Image Processing (2022), pp. 1–13.
    4. Scatter Correction for High-Resolution Flat-Panel CT Based on a Fast Monte Carlo Photon Transport Model. A. Alsaffar; S. Kieß; K. Sun and S. Simon. 2022.
    5. Beneath the Surface - Computed Tomography for Precast Segmental Bridges. M. Rettinger; J. Guhathakurta; P. Ganz; S. Simon and M. Schlaich. Beton- und Stahlbetonbau 117, 2 (2022).
    6. Multi-Material Blind Beam Hardening Correction Based on Non-Linearity Adjustment of Projections. Ammar Alsaffar; Kaicong Sun and Sven Simon. 2022.2022. DOI: https://doi.org/10.48550/ARXIV.2203.04587
    7. Computational Scatter Correction for High-Resolution Flat-Panel CT Based on a Fast Monte Carlo Photon Transport Model. Ammar Alsaffar; Steffen Kieß; Kaicong Sun and Sven Simon. 2022.2022. DOI: https://doi.org/10.48550/ARXIV.2201.13191
    8. 3DVSR: 3D EPI volume-based approach for angular and spatial light field image super-resolution. T. H. Tran; J. Berberich and S. Simon. Signal Processing 192, (2022), pp. 108373.
  2. 2021

    1. A lightweight and robust VCSEL-based 3D-depth sensing approach for mobile application. Trung-Hieu Tran; Sven Simon; Bo Chen; Detlef Russ and Daniel Claus. In Digital Optical Technologies 2021, 2021, pp. 70-- 77. DOI: https://doi.org/10.1117/12.2591653
    2. Making Historical Gyroscopes Alive—2D and 3D Preservations by Sensor Fusion and Open Data Access. Dieter Fritsch; Jörg F. Wagner; Beate Ceranski; Sven Simon; Maria Niklaus; Kun Zhan and Gasim Mammadov. Sensors 21, 3 (2021). DOI: https://doi.org/10.3390/s21030957
    3. GVLD: A Fast and Accurate GPU-Based Variational Light-Field Disparity Estimation Approach. Trung-Hieu Tran; Gasim Mammadov and Sven Simon. IEEE Transactions on Circuits and Systems for Video Technology 31, 7 (2021), pp. 2562–2574. DOI: https://doi.org/10.1109/TCSVT.2020.3028258
    4. FDRN: A fast deformable registration network for medical images. Kaicong Sun and Sven Simon. Medical Physics 48, 10 (2021), pp. 6453–6463. DOI: https://doi.org/10.1002/mp.15011
    5. Investigation of the Influence of Transport Processes on Chemical Reactions in Bubbly Flows Using Space-Resolved In Situ Analytics and Simultaneous Characterization of Bubble Dynamics in Real-Time, Reactive Bubbly Flows. J. Guhathakurta; D. Schurr; G. Rinke; D. Grottke; Kraut M.; R. Dittmeyer and S. Simon. Springer (2021), pp. 163–196.
    6. Making Historical Gyroscopes Alive -- 2D and 3D Preservations by Sensor Fusion and Open Data Access. J. Wagner Fritsch; B. Ceranski; S. Simon; M. Niklaus; K. Zhan and G. Mammadov. Sensors 21, 3 (2021), pp. 957.
    7. Bilateral Spectrum Weighted Total Variation for Real-World Super Resolution and Image Denoising. K. Sun and S. Simon. (2021), pp. 1–13.
    8. Investigation of the Influence of Transport Processes on Chemical Reactions in Bubbly Flows Using Space-Resolved In Situ Analytics and Simultaneous Characterization of Bubble Dynamics in Real-Time. Jajnabalkya Guhathakurta; Daniela Schurr; Günter Rinke; Daniel Grottke; Manfred Kraut; Roland Dittmeyer and Sven Simon. In Reactive Bubbly Flows: Final Report of the DFG Priority Program 1740, Michael Schlüter; Dieter Bothe; Sonja Herres-Pawlis and Ulrich Nieken (eds.). Springer International Publishing, Cham, 2021, pp. 163--196. DOI: https://doi.org/10.1007/978-3-030-72361-3_9
    9. Bilateral Spectrum Weighted Total Variation for Noisy-Image Super-Resolution and Image Denoising. Kaicong Sun and Sven Simon. IEEE Transactions on Signal Processing 69, (2021), pp. 6329–6341. DOI: https://doi.org/10.1109/TSP.2021.3127679
    10. 3DVSR: 3D EPI Volume-based Approach for Angular and Spatial Light filed Image Super-resolution. T. H. Tran; J. Berberich and S. Simon. Signal processing (2021), pp. 108373.
  3. 2020

    1. FDRN: Fast Deformable Image Registration Based on Unsupervised Convolutional Neural Networks. Kaicong Sun; Zhaowen Gong and Sven Simon. In Proceedings of the 6th International Conference on Image Formation in X-Ray Computed Tomography, Regensburg, Germany, 2020, pp. 202--205.
    2. Scattering Correction of CBCT Projections for the Quality Enhanced CT Reconstruction Using an Efficient Monte Carlo Photon Transport Model. Ammar Alsaffar; Gasim Mammadov and Sven Simon. In Proceedings of the 10th Conference on Industrial Computed Tomography (iCT 2020), Wels, Austria, 2020, pp. 1--6.
    3. Data compression by means of adaptive subsampling. Z. Wang; Y. Baroud; S. Najmabadi and S. Simon. US Patent 10,867,412 (2020).
    4. Scattering Correction of CBCT Projections for the Quality Enhanced CT Reconstruction Using Efficient Monte Carlo Photon Transport Model. A. Alsaffar; G. Mammadov and S. Simon. In 10th Conference on Industrial Computed Tomography, 2020, pp. 1–6.
    5. Multi-frame super-resolution reconstruction based on mixed Poisson–Gaussian noise. Kaicong Sun; Trung-Hieu Tran; Roman Krawtschenko and Sven Simon. Signal Processing: Image Communication 82, (2020), pp. 115736. DOI: https://doi.org/10.1016/j.image.2019.115736

Frühere CIS Publikationen

  1. 2019

    1. Architecture for parallel marker-free variable length streams decoding. Yousef Baroud; José Manuel Mariños Velarde; Zhe Wang; Steffen Kieß; Seyyed Mahdi Najmabadi; Jajnabalkya Guhathakurta and Sven Simon. Journal of Real-Time Image Processing 16, 6 (December 2019), pp. 2127–2146. DOI: https://doi.org/10.1007/s11554-017-0715-2
    2. Comparative Study and Proof of Single-Pass Connected Components Algorithms. Michael J. Klaiber; Donald G. Bailey and Sven Simon. J. Math. Imaging Vis. 61, 8 (October 2019), pp. 1112–1134. DOI: https://doi.org/10.1007/s10851-019-00891-2
    3. Spatial Resolution Enhancement Based on Detector Displacement for Computed Tomography. Kaicong Sun; Steffen Kieß and Sven Simon. In Proceedings of the 9th Conference on Industrial Computed Tomography (iCT 2019), Padova, Italy, 2019, pp. 1--8.
    4. Multi-Branch Deep Residual Neural Networks for Enhancing the Spatial Resolution of 2D Computed Tomography Images. K. Sun; Y. Liu and S. Simon. 15th International Meeting on Fully Three-Dimensional Image Reconstruction (2019), pp. 2.
    5. Multi-Branch Deep Residual Neural Networks for Enhancing the Spatial Resolution of 2D Computed Tomography Images. Kaicong Sun; Yuxin Liu and Sven Simon. In 15th International Meeting on Fully Three-Dimensional Image Reconstruction, 2019, pp. 1--2.
    6. An Architecture for Asymmetric Numeral Systems Entropy Decoder - A                Comparison with a Canonical Huffman Decoder. Seyyed Mahdi Najmabadi; Trung-Hieu Tran; Sherif Eissa; Harsimran Singh Tungal and Sven Simon. J. Signal Process. Syst. 91, 7 (2019), pp. 805--817. DOI: https://doi.org/10.1007/s11265-018-1421-4
    7. Spatial Resolution Enhancement Based on Detector Displacement for Computed Tomography. K. Sun; S. Kieß and S. Simon. In 9th Conference on Industrial Computed Tomography, 2019, pp. 1–8.
    8. Hybrid telecentric triangulation sensor system with real-time field-dependent deconvolution. A. Faulhaber; M. Gronle; T. Haist; C. Pruß; Y. Baroud; W. Osten and S. Simon. Optical Measurement Systems for Industrial Inspection XI 1105, (2019), pp. 1105613.
    9. Sub-Pixel Registration Technique for X-ray Phase Contrast Imaging. Hamish Bradley; Donald Bailey; Steven Le Moan; Peter Gaenz and Sven Simon. In 2019 International Conference on Image and Vision Computing New Zealand (IVCNZ), 2019, pp. 1–5. DOI: https://doi.org/10.1109/IVCNZ48456.2019.8960959
    10. A JND-Based Pixel-Domain Algorithm and Hardware Architecturefor Perceptual Image Coding. Z. Wang; T. H. Tran; P. K. Muthappa and S. Simon. Journal of Imaging 5, 5 (2019), pp. 50.
    11. Hybrid telecentric triangulation sensor system with real-time field-dependent deconvolution. Andreas Faulhaber; Marc Gronle; Tobias Haist; Christof Pruß; Yousef Baroud; Wolfgang Osten and Sven Simon. In Optical Measurement Systems for Industrial Inspection XI, 2019, pp. 264-- 277. DOI: https://doi.org/10.1117/12.2525568
    12. A JND-Based Pixel-Domain Algorithm and Hardware Architecture for Perceptual Image Coding. Zhe Wang; Trung-Hieu Tran; Ponnanna Kelettira Muthappa and Sven Simon. Journal of Imaging 5, 5 (2019). DOI: https://doi.org/10.3390/jimaging5050050
    13. An Architecture for Asymmetric Numeral Systems Entropy Decoder-A Comparison with a Canonical Huffman Decoder. S. M. Najmabadi; T. H. Tran; S. Eissa; S. Tungal and S. Simon. Journal of Signal Processing Systems 91, 7 (2019), pp. 805–817.
    14. Comparative Study and Proof of Single-pass Connected Components Algorithms. M. Klaiber; D. G. Bailey and S. Simon. Journal of Mathematical Imaging and Vision 61, 8 (2019), pp. 1112–1134.
  2. 2018

    1. Efficient Data Structures for the Fast 3D Reconstruction of Voxel Volumes with Inhomogeneous Spatial Resolution. Benjamin Betz; Steffen Kieß; Michael Krumm; Gunnar Knuppe; Tsegaye Eshete and Sven Simon. In 8th Conference on Industrial Computed Tomography (iCT), Wels, Austria, 2018.
    2. Gyrolog — Towards VR Preservations of Gyro Instruments for Historical and Didactical Research. Dieter Fritsch; Joerg F. Wagner; Sven Simon; Beate Ceranski; Maria Niklaus; Kun Zhan; Timo Schweizer and Zhe Wang. In 2018 Pacific Neighborhood Consortium Annual Conference and Joint Meetings (PNC), 2018, pp. 1–7. DOI: https://doi.org/10.23919/PNC.2018.8579456
    3. Effiziente CT-Rekonstruktion eines Voxel-Volumens mit inhomogener räumlicher Auflösung mithilfe eines Octrees. B. Betz; S. Kie; M. Krumm; G. Knupe; T. Eshete and S. Simon. DGZfP-JAHRESTAGUNG (2018), pp. 1–5.
    4. GPU-Accelerated Light-Field Image Super-Resolution. Trung-Hieu Tran; Gasim Mammadov; Kaicong Sun and Sven Simon. In 2018 International Conference on Advanced Computing and Applications (ACOMP), 2018, pp. 7–13. DOI: https://doi.org/10.1109/ACOMP.2018.00010
    5. Dynamic holography for speckle noise reduction in hybrid measurement system. Andreas Faulhaber; Stefan Haberl; Tobias Haist; Marc Gronle; Yousef Baroud; Wolfgang Osten and Sven Simon. In Laser Beam Shaping XVIII, 2018, pp. 94-- 105. DOI: https://doi.org/10.1117/12.2320486
    6. A spatial moments sub-pixel edge detector with edge blur compensation for imaging metrology. D. Gester and S. Simon. In 2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 2018, pp. 1–6. DOI: https://doi.org/10.1109/I2MTC.2018.8409664
    7. Dynamic holography for speckle noise reduction in hybrid measurement system. A. Faulhaber; T. Haist; W. Osten and S. Simon. In Laser Beam Shaping XVIII, 2018, pp. 1–12.
    8. Efficient Data Structures for the Fast 3D Reconstruction of Voxel Volumes with Inhomogeneous Spatial Resolution. B. Betz; S. Kieß; M. Krumm; G. Knupe; T. Eshete and S. Simon. In 8th Conference on Industrial Computed Tomography, 2018, pp. 1–6.
  3. 2017

    1. Characterization of a Raman Spectroscopic and Holographic System for Gas-Liquid Flows in Microchannels. D. Schurr; J. Guhathakurta; S. Simon; G. Rinke and R. Dittmeyer. Chemical Engineering & Technology 40, 8 (2017), pp. 1400–1407.
    2. Architecture for parallel marker-free variable length streams decoding. Y. Baroud; J. M. M. Velarde; Z. Wang; S. Kieß; M. Najmabadi; J. Guhathakurta and S. Simon. Journal of Real-Time Image Processing (2017), pp. 1–20.
    3. Hardware-based architecture for asymmetric numeral systems entropy decoder. Seyyed Mahdi Najmabadi; Harsimran Singh Tungal; Trung-Hieu Tran and Sven Simon. In 2017 Conference on Design and Architectures for Signal and Image Processing (DASIP), 2017, pp. 1–6. DOI: https://doi.org/10.1109/DASIP.2017.8122109
    4. A resource-efficient monitoring architecture for hardware accelerated self-adaptive online data stream compression. Seyyed Mahdi Najmabadi; Prajwala Pandit; Trung-Hieu Tran and Sven Simon. In 2017 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA), 2017, pp. 222–227. DOI: https://doi.org/10.23919/SPA.2017.8166868
    5. Light-field image compression based on variational disparity estimation and motion-compensated wavelet decomposition. Trung-Hieu Tran; Yousef Baroud; Zhe Wang; Sven Simon and David Taubman. In 2017 IEEE International Conference on Image Processing (ICIP), 2017, pp. 3260–3264. DOI: https://doi.org/10.1109/ICIP.2017.8296885
    6. Simultaneous In Situ Characterisation of Bubble Dynamics and a Spatially Resolved Concentration Profile: A Combined Mach--Zehnder Holography and Confocal Raman-Spectroscopy Sensor System. J. Guhathakurta; D. Schurr; G. Rinke; R. Dittmeyer and S. Simon. Journal of Sensors and Sensor Systems 6, 1 (2017), pp. 223–236.
    7. Analyzing the effect and Performance of Lossy Compression on Aeroacoustic Simulation of Gas Injector. M. Najmabadi; P. Offenhäuser; M. Hamann; J. Guhathakurta; F. Hempert; C. Glass and S. Simon. Journal Computation 5, 2 (2017), pp. 24.
    8. Contactless characterization of electric structures with simulation models based on CT data. C. Jauch; J. Denecke; J. Kuehnle; I. Effenberger; S. Kiess and S. Simon. In 7th Conference on Industrial Computed Tomography, 2017, pp. 1–7.
    9. Variational disparity estimation framework for plenoptic images. Trung-Hieu Tran; Zhe Wang and Sven Simon. In 2017 IEEE International Conference on Multimedia and Expo (ICME), 2017, pp. 1189–1194. DOI: https://doi.org/10.1109/ICME.2017.8019377
  4. 2016

    1. Accuracy of 3D position measurement of spherical objects with a holographic single camera setup. J. Guhathakurta; W. Li and S. Simon. N“urnberg, Germany, 2016, pp. 431–437.
    2. position measurement of spherical objects with a holographic single camera setup. J. Guhathakurta; D. Schurr; R. Rinke and 3d S. Simon: FERMAT-DFG SPP1740 (June 2016), pp. 6–8.
    3. Local concentration measurements in the wake of bubbles based on in-situ Raman spectroscopy and statistical analysis. D. Schurr; J. Guhathakurta; Y. Baroud; S. Simon; G. Rinke and R. Dittmeyer. In 9th International Conference on Multiphase Flow (ICMF 2016), Full Paper, Florence , Italy, 2016, pp. 22–27.
    4. A Single-Cycle Parallel Multi-Slice Connected Components Analysis Hardware Architecture. M. Klaiber; D. Bailey and S. Simon. Journal of Real-Time Processing (2016), pp. 1–11.
    5. A Resource-Efficient Hardware Architecture for Connected Component Analysis. Michael J. Klaiber; Donald G. Bailey; Yousef O. Baroud and Sven Simon. IEEE Transactions on Circuits and Systems for Video Technology 26, 7 (2016), pp. 1334–1349. DOI: https://doi.org/10.1109/TCSVT.2015.2450371
    6. A Parallel Codec Architecture for Marker-free Variable Length Code Streams. Y. Baroud; N. Lê; Z. Wang; S. Kieß; S. M. Najmabadi and S. Simon. in Proceedings of the HiPEAC Workshop on Reconfigurable Computing (WRC) 10, (2016), pp. 1–7.
    7. Low complexity perceptual image coding by just-noticeable difference model based adaptive downsampling. Zhe Wang; Yousef Baroud; Seyyed Mahdi Najmabadi and Sven Simon. In 2016 Picture Coding Symposium (PCS), 2016, pp. 1–5. DOI: https://doi.org/10.1109/PCS.2016.7906359
    8. Architecture for Parallelizing Decoding of Marker-Free Variable Length Code Streams. Y. Baroud; J. M. M. Velarde and S. Simon. IEEE SPA (2016), pp. 270–275.
    9. Real-time compression of high-bandwidth measurement data of thermographic cameras with high temporal and spatial resolution. Z. Wang; M. Najmabadi; Y. Baroud; M. Wachs; G. Dammass and S. Simon. NDT ISSN 1435-4934 (2016), pp. 902–909.
    10. Light scattering microscopy measurements of single nuclei compared with GPU-accelerated FDTD simulations. J. Stark; T. Rothe; S. Kieß; S. Simon and A. Kienle. Physics in Medicine and Biology 61, 7 (2016), pp. 2749–2761.
    11. Architecture for parallelizing decoding of marker-free variable length code streams. Yousef Baroud; Jose Manuel Mariňos Velarde and Sven Simon. In 2016 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA), 2016, pp. 270–275. DOI: https://doi.org/10.1109/SPA.2016.7763626
    12. CAD model reconstruction for electromagnetic field simulations by using computed tomography scans. J. Hillebrand; S. Kieß; K. Sun and S. Simon. Dimensional X-ray Computed Tomography Conference, NPL, UK.2016.
    13. Low Complexity Pixel Domain Perceptual Image Compression via Adaptive Down-Sampling. Zhe Wang and Sven Simon. In 2016 Data Compression Conference (DCC), 2016, pp. 636–636. DOI: https://doi.org/10.1109/DCC.2016.107
    14. Online Bandwidth Reduction Using Dynamic Partial Reconfiguration. Seyyed Mahdi Najmabadi; Zhe Wang; Yousef Baroud and Sven Simon. In 2016 IEEE 24th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), 2016, pp. 168–171. DOI: https://doi.org/10.1109/FCCM.2016.49
    15. A self-adaptive dynamic partial reconfigurable architecture for online data stream compression. Seyyed Mahdi Najmabadi; Zhe Wang; Yousef Baroud and Sven Simon. In 2016 International Conference on FPGA Reconfiguration for General-Purpose Computing (FPGA4GPC), 2016, pp. 19–24. DOI: https://doi.org/10.1109/FPGA4GPC.2016.7518529
  5. 2015

    1. Visually lossless image compression extension for JPEG based on just-noticeable distortion evaluation. Zhe Wang; Sven Simon; Yousef Baroud and Seyyed Mahdi Najmabadi. In 2015 International Conference on Systems, Signals and Image Processing (IWSSIP), 2015, pp. 237–240. DOI: https://doi.org/10.1109/IWSSIP.2015.7314220
    2. Signal Integrity Model Extraction Based on Computed Tomography Scans—Analysis of the Required Voxel Resolution. Jürgen Hillebrand; Steffen Kieß; Jajnabalkya Guhathakurta and Sven Simon. IEEE Transactions on Electromagnetic Compatibility 57, 4 (2015), pp. 847–857. DOI: https://doi.org/10.1109/TEMC.2015.2435995
    3. High throughput hardware architectures for asymmetric numeral systems entropy coding. Seyyed Mahdi Najmabadi; Zhe Wang; Yousef Baroud and Sven Simon. In 2015 9th International Symposium on Image and Signal Processing and Analysis (ISPA), 2015, pp. 256–259. DOI: https://doi.org/10.1109/ISPA.2015.7306068
    4. ’Computed Tomography Resolution Enhancement by Integrating High-Resolution 2D X-Ray Images into the CT reconstruction. S. Kieß; J. Guhathakurta; J. Hillebrand and S. Simon et al.: 2015, pp. 1–9.
    5. A High-Speed Process Monitoring System to Detect and Analyze Filaments and Droplet Collisions in Spray Processes in Real Time. M. Klaiber; S. Simon; J. Guhathakurta; W. Li; Z. Wang; A. Lampa and U. Fritsching. 13th Triennial Internat Conf. on Liquid Atomization and Spray Systems, Taiwan, ICLASS (2015), pp. 1–6.
  6. 2014

    1. Simulation Models for Signal Integrity Analyses Extracted from Computed Tomography Scans -- A Case Study for High-Speed Interconnects. S. Simon; J. Hillebrand and S. Kieß. In IEEE International Symposium on Electromagnetic Compatibility, USA, 2014, pp. 973–978.
    2. Adaptive Dynamic On-chip Memory Management for FPGA-based reconfigurable architectures. Ghada Dessouky; Michael J. Klaiber; Donald G. Bailey and Sven Simon. In 2014 24th International Conference on Field Programmable Logic and Applications (FPL), 2014, pp. 1–8. DOI: https://doi.org/10.1109/FPL.2014.6927471
    3. Real-time Process Analysis System for the Pulsation Detection and Measurement in Spray Processes. M. Klaiber; A. Kleinhans; P. Stähle; V. Gaukel and S. Simon. In 26th Annual Conference on Liquid Atomization and Spray Systems, 2014, pp. 1–5.
  7. 2013

    1. A high-throughput FPGA architecture for parallel connected components analysis based on label reuse. Michael J. Klaiber; Donald G. Bailey; Silvia Ahmed; Yousef Baroud and Sven Simon. In 2013 International Conference on Field-Programmable Technology (FPT), 2013, pp. 302–305. DOI: https://doi.org/10.1109/FPT.2013.6718372
    2. High Throughput Coding of Video Signals. Thomas Richter and Sven Simon. In 2013 Data Compression Conference, 2013, pp. 517–517. DOI: https://doi.org/10.1109/DCC.2013.96
    3. Stream Processing of Scientific Big Data on Heterogeneous Platforms -- Image Analytics on Big Data in Motion. S.M. Najmabadi; M. Klaiber; Z. Wang; Y. Baroud and S. Simon. In 2013 IEEE 16th International Conference on Computational Science and Engineering, 2013, pp. 965–970. DOI: https://doi.org/10.1109/CSE.2013.142
    4. Coding strategies and performance analysis of GPU accelerated image compression. Thomas Richter and Sven Simon. In 2013 Picture Coding Symposium (PCS), 2013, pp. 125–128. DOI: https://doi.org/10.1109/PCS.2013.737699
    5. Real-time Determination of Interfacial Tension from the Shape of a Pendant Drop Based on Embedded Image Processing. M. Najmabadi; F. Tamm; M. Klaiber; Y. Baroud; S. Drusch and S. Simon. 2013, pp. 1–6.
    6. Comparison of CPU and GPU based coding on low-complexity algorithms for display signals. T. Richter and S. Simon. Proceedings SPIE 8856 : Application of Digital Image Processing XXXVI (2013), pp. 1–14.
    7. Imaging Sensor with Integrated Feature Extraction Using Connected Component Labeling. M. Klaiber; S. Ahmed; M. Najmabadi; W. Li Y. Baroud and S. Simon. Proceedings SENSOR 2013, Nuremberg (2013), pp. 426–431.
  8. 2012

    1. Online Imaging Analysis of Spray Processes Based on a Reconfigurable Embedded System. M. Klaiber; S. Ahmed; Z. Wang; L. Rockstroh; Y. Gera and S. Simon. In 10. Workshop über Sprays, Techniken der Fluidzerstäubung und Untersuchungen von Sprühvorgängen. 2012, pp. 1–7.
    2. On the JPEG 2000 ultrafast mode. Thomas Richter and Sven Simon. In 2012 19th IEEE International Conference on Image Processing, 2012, pp. 2501–2504. DOI: https://doi.org/10.1109/ICIP.2012.6467406
    3. Towards high-speed, low-complexity image coding: variants and modification of JPEG 2000. T. Richter and S. Simon. SPIE 8499 Optical Engineering + Applications (2012), pp. 1–11.
    4. SSPQ - spatial domain perceptual image codec based on subsampling and perceptual quantization. Z. Wang; S. Simon; M. Klaiber; S. Ahmed and Th. Richter. In 2012 19th IEEE International Conference on Image Processing, 2012, pp. 1061–1064. DOI: https://doi.org/10.1109/ICIP.2012.6467046
    5. Memory Efficient Lossless Compression of Image Sequences with JPEG-LS and Temporal Prediction. Z. Wang; D. Chanda; T. Richter and S. Simon. Picture Coding Symposium (2012), pp. 305–308.
    6. Investigation of polymerization and drying of polyvinylpyrrolidone in an acoustic levitator using a smart camera for online process measurement. J. Laackmann; S. Ahmed; R. Sedelmayer; M. Klaiber; W. Pauer; S. Simon and H.-U. Moritz. In ICLASS 2012, 12th Triennial Internat. Conf. on Liquid Atomization and Spray Systems. 2012, pp. 1–8.
    7. Relaxation of particle image velocimetry based on single autocorrelation of filtered motion blurring. T. Lefeure; L. Rockstroh; M. Klaiber; N. Fortier and S. Simon. In 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012, pp. 1329–1332. DOI: https://doi.org/10.1109/ICASSP.2012.6288135
    8. Correlation and convolution of image data using fermat number transform based on two’s complement. Lars Rockstroh; Michael Klaiber and Sven Simon. In 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012, pp. 1637–1640. DOI: https://doi.org/10.1109/ICASSP.2012.6288209
    9. In-process Measuring Procedure for Sub-100 nm Structures. M. Zimmermann; A. Tausendfreund; S. Patzelt; G. Goch and S. Simon et al. Journal of Laser Applications 24, 4 (2012).
    10. Fast and Context-Free Lossless Image Compression Algorithm Based on JPEG-LS. Yurij Gera; Zhe Wang; Sven Simon and Thomas Richter. In 2012 Data Compression Conference, 2012, pp. 396–396. DOI: https://doi.org/10.1109/DCC.2012.64
    11. S-parameter extraction of bond wires based on EM field simulations of computed tomography-generated 3D CAD models. Jürgen Hillebrand; Steffen Kieß; Marek Wróblewski and Sven Simon. In 2012 IEEE 16th Workshop on Signal and Power Integrity (SPI), 2012, pp. 39–42. DOI: https://doi.org/10.1109/SaPIW.2012.6222907
    12. A memory-efficient parallel single pass architecture for connected component labeling of streamed images. Michael Klaiber; Lars Rockstroh; Zhe Wang; Yousef Baroud and Sven Simon. In 2012 International Conference on Field-Programmable Technology, 2012, pp. 159–165. DOI: https://doi.org/10.1109/FPT.2012.6412129
    13. On the Estimation of Numerical Error Bounds in Linear Algebra Based on Discrete Stochastic Arithmetic. W. Li; S. Simon and S. Kiess. Journal: Applied Numerical Mathematics 62, 5 (2012), pp. 536–555.
    14. Memory efficient lossless compression of image sequences with JPEG-LS and temporal prediction. Zhe Wang; Debasish Chanda; Sven Simon and Thomas Richter. In 2012 Picture Coding Symposium, 2012, pp. 305–308. DOI: https://doi.org/10.1109/PCS.2012.6213353
    15. Monitoring of collisions in fast droplet streams by real-time image processing with line sensors. Y. Baroud; S. Eggerstedt; M. Klaiber; R. Süverkrüp; S. Simon and A. Lamprecht. ILASS-Americas 24th Conf. on Liquid Atomization and Spray System (2012), pp. 1–7.
  9. 2011

    1. Determining the Numerical Stability of Quantum Chemistry Algorithms. G. Knizia; W. Li; S. Simon and H.-J. Werner. Journal of Chemical Theory and Computation 7, 8 (2011), pp. 2387–2398.
    2. Estimation of Rounding Errors on Hybrid Hardware Systems. W. Li and S. Simon. In International Conference on High Performance Computing & Simulation, 2011.
    3. Accuracy of 2D Continuous Particle Image Velocimetry Measurements in Thermal Spraying Processes. L. Rockstroh; S. Wahl; P. Werner; Z. Wang; S. Simon and R. Gadow. In Proceedings of International Thermal Spray Conference, Hamburg, 2011, pp. 1426–1432.
    4. An image filter technique to relax particle image velocimetry. L. Rockstroh; S. Wahl; Z. Wang; P. Werner and S. Simon. In 2011 19th European Signal Processing Conference, 2011, pp. 283–287.
    5. In-process optical characterization method for sub-100-nm nanostructures. S. Kieß; M. Z. Shaikh; M. Grégoire; T. Bringewat; S. Simon; A. Tausendfreund; M. Zimmermann and G. Goch. In 2011 IEEE International Instrumentation and Measurement Technology Conference, 2011, pp. 1–4. DOI: https://doi.org/10.1109/IMTC.2011.5944117
    6. Simultaneous characterization of particle velocities and sizes based on autocorrelation of filtered motion blurring. L. Rockstroh; T. Lefeure; S. Wahl; N. Fortier and S. Simon. In International Conference on Liquid Atomization and Spray Systems, Portugal, 2011, pp. 1–5.
    7. Exploitation of context classification for parallel pixel coding in JPEG-LS. S. Wahl; H. A. Tantawy; Z. Wang; P. Werner and S. Simon. In 2011 18th IEEE International Conference on Image Processing, 2011, pp. 2001–2004. DOI: https://doi.org/10.1109/ICIP.2011.6115869
    8. A memory efficient parallel lossless image compression engine for high performance embedded systems. Zhe Wang; Anto Y. Michael; Simeon Wahl; Philipp Werner and Sven Simon. In 2011 7th International Symposium on Image and Signal Processing and Analysis (ISPA), 2011, pp. 390–395.
    9. In Situ Power Analysis of General Purpose Graphical Processing Units. M.Z. Shaikh; M. Gregoire; W. Li; M. Wroblewski and S. Simon. In 2011 19th International Euromicro Conference on Parallel, Distributed and Network-Based Processing, 2011, pp. 40–44. DOI: https://doi.org/10.1109/PDP.2011.67
    10. In-Process Defect Characterization Method for Nanostructured Surfaces. A. Tausendfreund and S. Simon et. al. the 10th International Symposium of Measurement Technology and Intelligent Instruments 10, (2011), pp. 1–5.
    11. CAD model reconstruction of solder balls for the computationally efficient electromagnetic field simulation. Jürgen Hillebrand; Steffen Kieß; Yu Wang; Marek Wróblewski and Sven Simon. In 2011 IEEE 20th Conference on Electrical Performance of Electronic Packaging and Systems, 2011, pp. 279–282. DOI: https://doi.org/10.1109/EPEPS.2011.6100246
    12. Simulation von Streulicht-Messeffekten im Nanometerbereich. A. Tausendfreund; S. Patzelt; L. Rockstroh; S. Simon and G. Goch. 14. GMA/ITG-Fachtagung "Sensoren und Messsysteme 2008 ", VDI Berichte (2011).
    13. S-parameter extraction of passive sub-circuits using computed tomography scans and measured substrate material parameters. Jürgen Hillebrand; Steffen Kieß; Marek Wróblewski and Sven Simon. In 78th ARFTG Microwave Measurement Conference, 2011, pp. 1–6. DOI: https://doi.org/10.1109/ARFTG78.2011.6183869
    14. Numerical Accuracy Analysis and Debugging for Complex Simulation Software. W. Li and S. Simon. Simulation Technology Conference.2011.
    15. 3D Computed Tomography for High-Speed Interconnect Characterization. J. Hillebrand; M. Wroblewski and S. Simon. DesignCon USA (2011), pp. 9–19.
  10. 2010

    1. Numerical Error Analysis for Statistical Software on Multi-Core Systems. W. Li and S. Simon. In 19th International Conference on Computational Statistics, 2010, pp. 1–5.
    2. Messung von Partikelgeschwindigkeiten in Fertigungsprozessen unter Berücksichtigung der Abbildungseigenschaften des eingesetzten Kamerasystems. L. Rockstroh and S. Simon et. al. Expertenforum Bilderverarbeitung VDI (2010), pp. 229–241.
    3. Error Analysis of Image-based Measuring Methods in Thermal Spraying Processes: A simulation-Driven Approach. S. Simon L. Rockstroh and R. Gadow et.al. International Thermal Spray Conference, Singapore (2010), pp. 1–4.
    4. A Particle Image Velocimetry Method for Low Illumination Conditions in Thermal Spray Processes. L. Rockstroh and S. Simon et.al. Conference Proceedings, International Thermal Spray Conference, Singapore (2010), pp. 1–4.
    5. Memory-Efficient Parallelization of JPEG-LS with Relaxed Context Update. S. Wahl; Z. Wang and S. Simon. Picture Coding Symposium (2010), pp. 423–426.
  11. 2009

    1. Benchmark results for asynchronous high-speed FPGAs focusing on high performance digital signal processing. Lars Rockstroh; Wenbin Li; Juergen Hillebrand; Marek Wroblewski and Sven Simon. In 2009 International Conference on Field-Programmable Technology, 2009, pp. 423–426. DOI: https://doi.org/10.1109/FPT.2009.5377696
  12. 2008

    1. Using Arithmetic Coding for the Reduction of Simulation Data on Massive Parallel GPGPU,. A. Balevic and S. Simon. ParSim (2008), pp. 1–8.
    2. Accelerating Simulations of Light Scattering Based on Finite-Difference Time-Domain Method with General Purpose GPUs. A. Balevic; L. Rockstroh; A. Tausendfreund; S. Patzelt; G. Goch and S. Simon. In 2008 11th IEEE International Conference on Computational Science and Engineering, 2008, pp. 327–334. DOI: https://doi.org/10.1109/CSE.2008.16
    3. Accelerating light scattering simulations of nanostructures by reconfigurable computing. L. Rockstroh; A. Balevic; M. Wroblewski; J. Hillebrand; A. Tausendfreund; S. Patzelt; S. Simon and G. Goch. In 2008 3rd IEEE International Conference on Nano/Micro Engineered and Molecular Systems, 2008, pp. 1177–1180. DOI: https://doi.org/10.1109/NEMS.2008.4484527
    4. et.al., Virtuelle Messgeräte - Eine Definition. R. Schmitt; F. Koerfer; A. Tausendfreund; S. Patzelt; S. Simon and L. Rockstroh. Zeitschrift: Technisches Messen 75, (2008), pp. 327–339.
    5. Erfassung von Standardgeometrieelementen im Mikrobereich. S. Patzelt; A. Tausendfreund; J. Mehner and S. Simon et.al. Zeitschrift: Technisches Messen (2008), pp. 327–33.
    6. Acceleration of a finite-difference method with general purpose GPUs - Lesson learned. A. Balevic; L. Rockstroh; W. Li; J. Hillebrand; S. Simon; A. Tausendfreund; S. Patzelt and G. Goch. In 2008 8th IEEE International Conference on Computer and Information Technology, 2008, pp. 291–294. DOI: https://doi.org/10.1109/CIT.2008.4594689
  13. 2007

    1. Simulation of Light Scattering from Nanostructured Surfaces. A. Tausendfreund; S. Patzelt; S. Simon and G. Goch. In 8th International Symposium on Measurement Technology and Intelligent Instruments, 2007, pp. 207–210.
  14. 2006

    1. Simulation of Light Scattering from Surfaces Containing Spherical and Elliptical Nanoparticles. A. Tausendfreund; D. Mader; S. Simon; S. Patzelt and G. Goch. In Proceedings of SPIE 6195, 2006, pp. 1–13.
    2. Low Power Synthesizable Register Files for Processor and IP Cores. M. Müller; S. Simon; H. Gryska; A. Wortmann and S. Buch. 2006.
    3. Simulation of Light Scattering for Surfaces with Statistically Distributed Subwavelength Cavities. A. Tausendfreund; S. Patzelt; D. Mader; S. Simon and G. Goch. In Proceedings of SPIE 6195, 2006, pp. 1–12.
  15. 2005

    1. Power reduction of ASIPs by distributing the workload on several ASIP-instances. V. Kalyanaraman; M. Mueller; S. Simon; M. Steinert and H. Gryska. In Proceedings of the 2005 European Conference on Circuit Theory and Design, 2005., 2005, pp. III/457-III/460 vol. 3. DOI: https://doi.org/10.1109/ECCTD.2005.1523159
    2. Data Scaling of Two’s Complement Data Representation for Low Power SoC Architectures. M. Müller; S. Simon; V. Kalyanaraman; M. Steinert and H. Gryska. 2005, pp. 1–6.
    3. Simulation of Light Scattering from Nanosurfaces based on Frequency Scaled Measurements. D. Mader; A. Tausendfreund; S. Simon; S. Patzelt and G. Goch. Nanoengineering Symposium (2005), pp. 1–5.
    4. A power dissipation comparison of ALU-architectures for ASIPs. V. Kalyanaraman; M. Mueller; S. Simon; M. Steinert and H. Gryska. In Proceedings of the 2005 European Conference on Circuit Theory and Design, 2005., 2005, pp. II/217-II/220 vol. 2. DOI: https://doi.org/10.1109/ECCTD.2005.1523032
    5. Datenskalierung für die verlustleistungsarme Signalverarbeitung in Prozessorsystemen. M. Müller and S. Simon. GI Jahrestagung 1, (2005), pp. 457.
    6. Method for Light Scattering from Nanostructures. D. Mader; A. Tausendfreund; S. Simon; S. Patzelt; G. Goch and A. Computation. Nanoengineering Symposium (2005), pp. 1–5.
  16. 2004

    1. The impact of clock gating schemes on the power dissipation of synthesizable register files. M. Mueller; A. Wortmann; S. Simon; M. Kugel and T. Schoenauer. In 2004 IEEE International Symposium on Circuits and Systems (IEEE Cat. No.04CH37512), 2004, pp. II–609. DOI: https://doi.org/10.1109/ISCAS.2004.1329345
    2. Register Isolation for Synthesizable Register Files. M. Müller; A. Wortmann; D. Mader and S. Simon. 14th Int. Workshop, Power and Timing Modeling Optimization and Simulation, PATMOS (2004), pp. 228–237.
    3. A high-speed transceiver architecture implementable as synthesizable IP core. A. Wortmann; S. Simon and M. Muller. In Proceedings Design, Automation and Test in Europe Conference and Exhibition, 2004, pp. 46- 51 Vol.3. DOI: https://doi.org/10.1109/DATE.2004.1269197
    4. An instruction set for the efficient implementation of the CORDIC algorithm. S. Simon; M. Muller; H. Gryska; A. Wortmann and S. Buch. In 2004 IEEE International Symposium on Circuits and Systems (IEEE Cat. No.04CH37512), 2004, pp. II–357. DOI: https://doi.org/10.1109/ISCAS.2004.1329282
  17. 2003

    1. Static timing analysis with rigorous exploitation of setup time margins. A. Wortmann; S. Simon; W. Bergholz; M. Muller and D. Mader. In 2003 46th Midwest Symposium on Circuits and Systems, 2003, pp. 1396- 1399 Vol. 3. DOI: https://doi.org/10.1109/MWSCAS.2003.1562556
    2. et. al., An IP Based Design Flow with ASIPs for the Design and Implementation of Digital Filters. S. Simon; H. Gryska and M. Müller. IP Based SoC Design, Grenoble (2003), pp. 1–6.
    3. A power efficient register file architecture using master latch sharing. M. Wroblewski; M. Mueller; A. Wortmann; S. Simon; W. Pieper and J.A. Nossek. In Proceedings of the 2003 International Symposium on Circuits and Systems, 2003. ISCAS ’03., 2003, pp. V–V. DOI: https://doi.org/10.1109/ISCAS.2003.1206291
  18. 2002

    1. Low Power Register File Architectures for Application Specific DSPs. M. Müller; A. Wortmann and S. Simon et. al. IEEE International Symp. on Circuits and Systems (2002), pp. 89–92.
  19. 2000

    1. Low Power Transf. of Datapath Architectures with cyclic SFGs,. M. Wroblewski; S. Simon and J. A. Nossek. IEEE International Symp. on Circuits and Systems, ISCAS (2000), pp. 597–600.
  20. 1999

    1. Device level based cell modeling for fast power estimation. C.V. Schimpfle; S. Simon and J.A. Nossek. In 1999 IEEE International Symposium on Circuits and Systems (ISCAS), 1999, pp. 90–93 vol.1. DOI: https://doi.org/10.1109/ISCAS.1999.777812
    2. Application Specific Efficient VLSI Architectures for Orthogonal Single- and Multiwavelet Transforms. P. Rieder; S. Simon and C. Schimpfle. In Proceedings of the International Symposium on Circuits and Systems, 1999.
    3. Low Power Datapath Design Using Transf. Similar to Temporal Localization of SFGs. S. Simon and M. Wroblewski. 1999, pp. 59–61.
    4. High-level circuit modeling for power estimation. C.V. Schimpfle; S. Simon and J.A. Nossek. In ICECS’99. Proceedings of ICECS ’99. 6th IEEE International Conference on Electronics, Circuits and Systems (Cat. No.99EX357), 1999, pp. 807–810 vol.2. DOI: https://doi.org/10.1109/ICECS.1999.813231
  21. 1997

    1. Entwurf von Datenpfaden in schnellen integrierten Schaltungen. S. Simon. Dissertation (1997), pp. 141.
    2. Retiming of latches for power reduction of DSP designs. S. Simon; C.V. Schimpfle; M. Wroblewski and J.A. Nossek. In 1997 IEEE International Symposium on Circuits and Systems (ISCAS), 1997, pp. 2168–2171 vol.3. DOI: https://doi.org/10.1109/ISCAS.1997.621600
    3. Optimizing Sequential Circuits for Minimum Glitching Activity. C. Schimpfle; S. Simon and J. A. Nossek. 1997, pp. 1–5.
    4. Low power CORDIC implementation using redundant number representation. C.V. Schimpfle; S. Simon and J.A. Nossek. In Proceedings IEEE International Conference on Application-Specific Systems, Architectures and Processors, 1997, pp. 154–161. DOI: https://doi.org/10.1109/ASAP.1997.606822
    5. Estimation and Reduction of Spurious Switching Activities in Static CMOS Circuits. C. Schimpfle and S. Simon. AEÜ Int. Journal of Electronics and Communications 51, (1997), pp. 290.
    6. Optimal placement of registers in data paths for low power design. C.V. Schimpfle; S. Simon and J.A. Nossek. In 1997 IEEE International Symposium on Circuits and Systems (ISCAS), 1997, pp. 2160–2163 vol.3. DOI: https://doi.org/10.1109/ISCAS.1997.621598
  22. 1996

    1. Built-in self test architectures for multistage interconnection networks. E. Bernard; S. Simon and J.A. Nossek. In Proceedings ED&TC European Design and Test Conference, 1996, pp. 176–180. DOI: https://doi.org/10.1109/EDTC.1996.494145
    2. Efficient VLSI suited architectures for discrete wavelet transforms. S. Simon; P. Rieder and J.A. Nossek. In VLSI Signal Processing, IX, 1996, pp. 388–397. DOI: https://doi.org/10.1109/VLSISP.1996.558371
    3. CORDIC-based architectures for the efficient implementation of discrete wavelet transforms. S. Simon; P. Rieder; C. Schimpfle and J.A. Nossek. In 1996 IEEE International Symposium on Circuits and Systems (ISCAS), 1996, pp. 77–80 vol.4. DOI: https://doi.org/10.1109/ISCAS.1996.541948
  23. 1995

    1. Retiming of synchronous circuits with variable topology. S. Simon; R. Bucher and J.A. Nossek. In Proceedings of the 8th International Conference on VLSI Design, 1995, pp. 130–134. DOI: https://doi.org/10.1109/ICVD.1995.512091
    2. Method Retiming Algorithm for Digital Circuits with Acyclic Circuit Graphs. S. Simon; J. Hofner and J. A. Nossek. In European Conference on Circuit Theory and Design, 1995, pp. 1–5.
    3. Retiming of circuits containing multiplexers. S. Simon; J. Hofner and J.A. Nossek. In 1995 IEEE International Symposium on Circuits and Systems (ISCAS), 1995, pp. 1736–1739 vol.3. DOI: https://doi.org/10.1109/ISCAS.1995.523748
  24. 1994

    1. A new retiming algorithm for circuit design. S. Simon; E. Bernard; M. Sauer and J.A. Nossek. In Proceedings of IEEE International Symposium on Circuits and Systems - ISCAS ’94, 1994, pp. 35–38 vol.4. DOI: https://doi.org/10.1109/ISCAS.1994.409190
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