Speaker| Professor Chia-Wen Lin, National Tsing Hua University, Taiwan
Time| 2:00-3:30 P.M., Wednesday, Aug. 03, 2022
Sign up| https://bit.ly/3RNbN3J
Abstract|
Terahertz (THz) computational imaging has recently attracted significant attention thanks to its non-invasive, non-destructive, non-ionizing, material-classification, and ultra-fast nature for 3D object exploration and inspection. However, its strong water absorption nature and low noise tolerance lead to undesired blurs and distortions of reconstructed THz images. The performances of existing methods are highly constrained by the diffraction-limited THz signals. In this talk, we will introduce the characteristics of THz imaging and its applications. We will also show how to break the limitations of THz imaging with the aid of complementary information between the THz amplitude and phase images sampled at prominent frequencies (i.e., the water absorption profile of THz signal) for THz image restoration. To this end, we propose a novel physics-guided deep neural network model, namely Subspace-Attention-guided Restoration Network (SARNet), that fuses such multi-spectral features of THz images for effective restoration. Furthermore, we experimentally construct an ultra-fast THz time-domain spectroscopy system covering a broad frequency range from 0.1 THz to 4 THz for building up temporal/spectral/spatial/phase/material THz database of hidden 3D objects.
Bio|
Prof. Chia-Wen Lin received his Ph.D. degree from the Department of Electrical Engineering, National Tsing Hua University (EE/NTHU), Hsinchu, Taiwan, in January 2000. He has been with EE/NTHU since August 2007. Prior to joining EE/NTHU, he worked for the Department of Computer Science and Information Engineering, National Chung Cheng University (CSIE/CCU), Chiayi, Taiwan from August 2000 to July 2007. He was with the Information and Communications Research Laboratories, Industrial Technology Research Institute (ICL/ITRI), Hsinchu, Taiwan, during 1992-2000, where his final post was Section Manager. He served as a visiting scholar at the Information Processing Laboratory, Department of Electrical Engineering, University of Washington, USA during April-August 2000, a visiting professor at Microsoft Research Asia, Beijing, China, during July-August 2002. His research interests include visual content analysis and processing, and video networking.
Dr. Lin was named IEEE Fellow for his contributions to multimedia coding and editing in 2018. He is also a Distinguished Lecturer of IEEE Circuits and Systems Society (2018~2019). He was a recipient of the 2000 and 2001 Ph.D. Thesis Awards presented by the Acer Foundation and the Ministry of Education, R.O.C., respectively. His paper won the Young Investigator Award presented by SPIE VCIP 2005. He was awarded the Young Faculty Awards (2005~2007) presented by National Chung Cheng University and the Ta-You Wu Memorial Awards (2006~2009) presented by National Science Council (NSC), Taiwan. He also receives the Young Investigator Project Awards (2011~2014) from NSC, Taiwan. He has served on the editorial board of IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Multimedia, IEEE Multimedia Magazine, Journal of Visual Communication and Image Representation, and Signal Processing: Image Communication. He has served as a Guest Co-Editor of five special issues for IEEE Journal of Selected Topics in Signal Processing, IEEE Transactions on Multimedia, EURASIP Journal on Advances in Signal Processing, and Journal of Visual Communication and Image Representation, respectively. He is Chair of the Multimedia Systems and Applications Technical Committee of IEEE Circuits and Systems Society. He was TPC Co-Chair of IEEE International Conference on Multimedia & Expo (ICME) 2010 and Special Session Co-Chair of IEEE ICME 2009. H will serve as General Co-Chair of IEEE VCIP 2018 and TPC Co-Chair of IEEE ICIP 2019.
Time| 2:00-3:30 P.M., Wednesday, Aug. 03, 2022
Sign up| https://bit.ly/3RNbN3J
Abstract|
Terahertz (THz) computational imaging has recently attracted significant attention thanks to its non-invasive, non-destructive, non-ionizing, material-classification, and ultra-fast nature for 3D object exploration and inspection. However, its strong water absorption nature and low noise tolerance lead to undesired blurs and distortions of reconstructed THz images. The performances of existing methods are highly constrained by the diffraction-limited THz signals. In this talk, we will introduce the characteristics of THz imaging and its applications. We will also show how to break the limitations of THz imaging with the aid of complementary information between the THz amplitude and phase images sampled at prominent frequencies (i.e., the water absorption profile of THz signal) for THz image restoration. To this end, we propose a novel physics-guided deep neural network model, namely Subspace-Attention-guided Restoration Network (SARNet), that fuses such multi-spectral features of THz images for effective restoration. Furthermore, we experimentally construct an ultra-fast THz time-domain spectroscopy system covering a broad frequency range from 0.1 THz to 4 THz for building up temporal/spectral/spatial/phase/material THz database of hidden 3D objects.
Bio|
Prof. Chia-Wen Lin received his Ph.D. degree from the Department of Electrical Engineering, National Tsing Hua University (EE/NTHU), Hsinchu, Taiwan, in January 2000. He has been with EE/NTHU since August 2007. Prior to joining EE/NTHU, he worked for the Department of Computer Science and Information Engineering, National Chung Cheng University (CSIE/CCU), Chiayi, Taiwan from August 2000 to July 2007. He was with the Information and Communications Research Laboratories, Industrial Technology Research Institute (ICL/ITRI), Hsinchu, Taiwan, during 1992-2000, where his final post was Section Manager. He served as a visiting scholar at the Information Processing Laboratory, Department of Electrical Engineering, University of Washington, USA during April-August 2000, a visiting professor at Microsoft Research Asia, Beijing, China, during July-August 2002. His research interests include visual content analysis and processing, and video networking.
Dr. Lin was named IEEE Fellow for his contributions to multimedia coding and editing in 2018. He is also a Distinguished Lecturer of IEEE Circuits and Systems Society (2018~2019). He was a recipient of the 2000 and 2001 Ph.D. Thesis Awards presented by the Acer Foundation and the Ministry of Education, R.O.C., respectively. His paper won the Young Investigator Award presented by SPIE VCIP 2005. He was awarded the Young Faculty Awards (2005~2007) presented by National Chung Cheng University and the Ta-You Wu Memorial Awards (2006~2009) presented by National Science Council (NSC), Taiwan. He also receives the Young Investigator Project Awards (2011~2014) from NSC, Taiwan. He has served on the editorial board of IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Multimedia, IEEE Multimedia Magazine, Journal of Visual Communication and Image Representation, and Signal Processing: Image Communication. He has served as a Guest Co-Editor of five special issues for IEEE Journal of Selected Topics in Signal Processing, IEEE Transactions on Multimedia, EURASIP Journal on Advances in Signal Processing, and Journal of Visual Communication and Image Representation, respectively. He is Chair of the Multimedia Systems and Applications Technical Committee of IEEE Circuits and Systems Society. He was TPC Co-Chair of IEEE International Conference on Multimedia & Expo (ICME) 2010 and Special Session Co-Chair of IEEE ICME 2009. H will serve as General Co-Chair of IEEE VCIP 2018 and TPC Co-Chair of IEEE ICIP 2019.