Jonas Unger

Ehsan Miandji, Saghi Hajisharif, Jonas Unger (2019) A Unified Framework for Compression and Compressed Sensing of Light Fields and Light Field Videos ACM Transactions on Graphics , Vol. 38 , s. 1-18

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Gabriel Baravdish, Ehsan Miandji, Jonas Unger (2019) GPU Accelerated Sparse Representation of Light Fields VISIGRAPP - 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, Prague, Czech Republic, February 25-27, 2019. , s. 177-182

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Ehsan Miandji, Jonas Unger, Christine Guillemot (2018) Multi-Shot Single Sensor Light Field Camera Using a Color Coded Mask 2018 26TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO) , s. 226-230

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Oliver Staadt, Jonas Unger, Morten Fjeld, Marco Fratarcangeli, Daniel Sjolie (2018) Foreword to the Special Section on the 23rd ACM symposium on virtual reality software and technology 2017 Computers & graphics , Vol. 77 , s. A3-A4

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Mohammad Emadi, Ehsan Miandji, Jonas Unger (2018) OMP-based DOA estimation performance analysis Digital signal processing (Print) , Vol. 79 , s. 57-65

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Mohammad Emadi, Ehsan Miandji, Jonas Unger (2018) A Performance Guarantee for Orthogonal Matching Pursuit Using Mutual Coherence Circuits, systems, and signal processing , Vol. 37 , s. 1562-1574

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Gabriel Eilertsen, Per-Erik Forssén, Jonas Unger (2017) BriefMatch: Dense binary feature matching for real-time optical flow estimation Proceedings of the Scandinavian Conference on Image Analysis (SCIA17) , s. 221-233

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Tanaboon Tongbuasirilai, Jonas Unger, Murat Kurt (2017) Efficient BRDF Sampling Using Projected Deviation Vector Parameterization 2017 IEEE International Conference on Computer Vision Workshops (ICCVW) , s. 153-158

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Gabriel Eilertsen, Joel Kronander, Gyorgy Denes, Rafal K. Mantiuk, Jonas Unger (2017) HDR image reconstruction from a single exposure using deep CNNs ACM Transactions on Graphics , Vol. 36

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Ehsan Miandji, Mohammad Emadi, Jonas Unger, Afshari Ehsan (2017) On Probability of Support Recovery for Orthogonal Matching Pursuit Using Mutual Coherence IEEE Signal Processing Letters , Vol. 24 , s. 1646-1650

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Gabriel Eilertsen, R. K. Mantiuk, Jonas Unger (2017) A comparative review of tone-mapping algorithms for high dynamic range video Computer graphics forum (Print) , Vol. 36 , s. 565-592

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Jonas Unger, Francesco Banterle, Rafal Mantiuk, Gabriel Eilertsen (2016) The HDR-video pipeline: From capture and image reconstruction to compression and tone mapping

Andrew Jones, Koki Nagano, Jay Busch, Xueming Yu, Hsuan-Yueh Peng, Joseph Barreto, Oleg Alexander, Mark Bolas, Paul Debevec, Jonas Unger (2016) Time-Offset Conversations on a Life-Sized Automultiscopic Projector Array PROCEEDINGS OF 29TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, (CVPRW 2016) , s. 927-935

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Gabriel Eilertsen, Rafal K. Mantiuk, Jonas Unger (2016) REAL-TIME NOISE-AWARE TONE-MAPPING AND ITS USE IN LUMINANCE RETARGETING 2016 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) , s. 894-898

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Ehsan Miandji, Jonas Unger (2016) ON NONLOCAL IMAGE COMPLETION USING AN ENSEMBLE OF DICTIONARIES 2016 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) , s. 2519-2523

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Gabriel Eilertsen, Rafal K. Mantiuk, Jonas Unger (2016) A HIGH DYNAMIC RANGE VIDEO CODEC OPTIMIZED BY LARGE-SCALE TESTING 2016 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) , s. 1379-1383

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Jonas Unger, Saghi Hajisharif, Joel Kronander (2016) Unified reconstruction of RAW HDR video data High dynamic range video , s. 63-82

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Gabriel Eilertsen, Jonas Unger, Rafal Mantiuk (2016) Evaluation of tone mapping operators for HDR video High dynamic range video , s. 185-206

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Gabriel Eilertsen, Rafal Mantiuk, Jonas Unger (2015) Real-time noise-aware tone mapping ACM Transactions on Graphics , Vol. 34 , s. 198:1-198:15

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Joel Kronander, Thomas B. Schön, Jonas Unger (2015) Pseudo-Marginal Metropolis Light Transport Proceeding SA '15 SIGGRAPH Asia 2015 Technical Briefs , s. 13:1-13:4

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Jonas Unger

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Computer Graphics and Image Processing

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Jonas Unger

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2019

2018

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2016

2015

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Computer Graphics and Image Processing

Department of Science and Technology

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