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High Dynamic Range Imaging Using Multiple Exposures

Journal of Physics: Conference Series 2017年第1期844卷

作者： Xinglin Hou Haibo Luo Peipei Zhou Wei Zhou Shenyang Institute of Automation Chinese Academy of Sciences Shenyang 110016 University of Chinese Academy of Sciences Beijing 100049 Key Laboratory of Opto-Electronic Information Processing CAS Shenyang 110016 The Key Lab of Image Understanding and Computer Vision Liaoning Province Shenyang 110016 AVIC Jiangxi HONGDU Aviation Industry Group LTD Nanchang China

It is challenging to capture a high-dynamic range (HDR) scene using a low-dynamic range (LDR) camera. This paper presents an approach for improving the dynamic range of cameras by using multiple exposure images of same scene taken under different exposure times. First, the camera response function (CRF) is recovered by solving a high-order polynomial in which only the ratios of the exposures are used. Then, the HDR radiance image is reconstructed by weighted summation of the each radiance maps. After that, a novel local tone mapping (TM) operator is proposed for the display of the HDR radiance image. By solving the high-order polynomial, the CRF can be recovered quickly and easily. Taken the local image feature and characteristic of histogram statics into consideration, the proposed TM operator could preserve the local details efficiently. Experimental result demonstrates the effectiveness of our method. By comparison, the method outperforms other methods in terms of imaging quality.

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Coupled convolutional neural network with adaptive response function learning for unsupervised hyperspectral super-resolution

arXiv

引用

arXiv 2020年

作者： Zheng, Ke Gao, Lianru Liao, Wenzhi Hong, Danfeng Zhang, Bing Cui, Ximin Chanussot, Jocelyn Key Laboratory of Digital Earth Science Aerospace Information Research Institute Chinese Academy of Sciences Beijing100094 China College of Geoscience and Surveying Engineering China University of Mining and Technology [Bei Jing Beijing100083 China Key Laboratory of Digital Earth Science Aerospace Information Research Institute Chinese Academy of Sciences Beijing100094 China Mol2400 Belgium Image Processing and Interpretation IMEC Research Group Ghent University Ghent9000 Belgium Weling82234 Germany College of Resources and Environment University of Chinese Academy of Sciences Beijing100049 China College of Geoscience and Surveying Engineering China University of Mining and Technology [Bei Jing Beijing100083 China Univ. Grenoble Alpes CNRS Grenoble INP GIPSA-lab GrenobleF-38000 France Aerospace Information Research Institute Chinese Academy of Sciences Beijing100094 China

Due to the limitations of hyperspectral imaging systems, hyperspectral imagery (HSI) often suffers from poor spatial resolution, thus hampering many applications of the imagery. Hyperspectral super-resolution refers to fusing HSI and MSI to generate an image with both high spatial and high spectral resolutions. Recently, several new methods have been proposed to solve this fusion problem, and most of these methods assume that the prior information of the Point Spread Function (PSF) and Spectral Response Function (SRF) are known. However, in practice, this information is often limited or unavailable. In this work, an unsupervised deep learning based fusion method HyCoNet that can solve the problems in HSIMSI fusion without the prior PSF and SRF information is proposed. HyCoNet consists of three coupled autoencoder nets in which the HSI and MSI are unmixed into endmembers and abundances based on the linear unmixing model. Two special convolutional layers are designed to act as a bridge that coordinates with the three autoencoder nets, and the PSF and SRF parameters are learned adaptively in the two convolution layers during the training process. Furthermore, driven by the joint loss function, the proposed method is straightforward and easily implemented in an end-to-end training manner. The experiments performed in the study demonstrate that the proposed method performs well and produces robust results for different datasets and arbitrary PSFs and SRFs. Copyright © 2020, The Authors. All rights reserved.

关键词： Spectroscopy

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Photomechanical Luminescence from Through‐Space Conjugated AIEgens

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Angewandte Chemie 2019年第23期132卷

作者： Jingjing Guo Jianzhong Fan Xinzhi Liu Zujin Zhao Ben Zhong Tang State Key Laboratory of Luminescent Materials and Devices Guangdong Provincial Key Laboratory of Luminescence from Molecular Aggregates South China University of Technology Guangzhou 510640 China Shandong Province Key Laboratory of Medical Physics and Image Processing Technology Institute of Materials and Clean Energy School of Physics and Electronics Shandong Normal University Jinan 250014 China Department of Chemistry The Hong Kong University of Science & Technology Clear Water Bay Kowloon Hong Kong China

Transforming molecular motions into the macroscopic scale is a topic of great interest to nanoscience. The photomechanical effect is a promising strategy to achieve this goal. Herein, we report an intriguing photomechanical luminescence driven by the photodimerization of 2‐phenylbenzo[b]thiophene 1,1‐dioxide (P‐BTO) in molecular crystals and elucidate the working mechanism and substituent effect through crystallographic analysis and theoretical calculations. Striking splitting, hopping, and bending mechanical behaviors accompanied by a significant blue fluorescence enhancement are observed for P‐BTO crystals under UV light, which is attributed to the formation of photodimer 2P‐BTO. Although 2P‐BTO is poorly π‐conjugated because of the central cyclobutane ring, it exhibits prominent through‐space conjugation and aggregation‐induced emission (AIE), affording strong solid‐state blue fluorescence at 415 nm with an excellent quantum yield of up to 96.2 %.

关键词： Aggregationsinduzierte Emission Konjugation durch den Raum Photochemische Reaktionen Photodimerisierung Photomechanische Lumineszenz

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Eurasip Journal on Applied Signal processing: Editorial

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Eurasip Journal on Applied Signal processing 2002年第10期2002卷 1003-1004页

作者： Strintzis, Michael G. Marques, Ferran Lavagetto, Fabio Information Processing Laboratory Electrical Engineering Department Aristotle University of Thessaloniki Thessaloniki 54006 Greece Informatics and Telematics Institute 1st Km Thermi-Panorama Road Thermi-Thessaloniki 57001 Greece Technical University of Catalonia UPC Campus Nord Modul D5 C/ Jordi Cirona 1-3 08034 Barcelona Spain Department of Communication DIST University of Cenova Via Opera Pia 13 Genova Italy Electrical Engineering Department University of Pittsburgh Pittsburgh PA United States University of Thessaloniki Thessaloniki Greece Info./Telematics Research Institute Thessaloniki Greece Swiss Fed. Institute of Technology EPFL Lausanne Switzerland Department of Signal Theory Polytechnic University of Catalonia Barcelona Spain Sign. and Image Processing Institute USC Los Angeles CA United States UPC Bercelona Spain AT and T Bell Laboratories Holmdel NJ United States University of Parma Parma Italy DIST University of Genova Genova Italy

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Design and implementation of a clock recovery circuit for fast Ethernet applications

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Chinese Journal of Systems Engineering and Electronics 2004年第4期000卷

A circuit architechure to realize clock recovery for fast Ethernet applications is presented, whick includies system architecture, modified Mueller Muller algorithm for 100BASE-TX, phase detector for 100BASE-TX and multiple output charge pump PLL. The clock recovery circuit is verified by TSMC 0.35um 1P5M CMOS process. The results show that this clock recovery circuit exactly extracts the timing information. It has advantages over others for simple and easy implementation.

关键词： clock recovery phase locked loop adaptive equalizer

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Automated Volumetric Measurement of Brain Structures and White Matter Lesions in Alzheimer's Disease and Mild Cognitive Impairment

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Alzheimer's & Dementia 2010年第4期6卷 S22-S23页

作者： Huali Wang Frithjof Kruggel Daniel Chang Min-Ying Su Xin Yu Peking University Institute of Mental Health Beijing China Key Laboratory for Mental Health Ministry of Health (Peking University) Beijing China Signal and Image Processing Lab Department of Biomedical Engineering University of California Irvine CA USA Tu & Yuen Center for Functional Onco-Imaging University of California Irvine CA USA

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IC-P-050: Automated Volumetric Measurement of Brain Structures and White Matter Lesions in Alzheimer's Disease and Mild Cognitive Impairment

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Alzheimer's & Dementia 2010年第4S_PART_1期6卷

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Efficient T2 mapping with Blip-up/down EPI and gSlider-SMS (T2-BUDA-gSlider)

arXiv

引用

arXiv 2019年

作者： Cao, Xiaozhi Liao, Congyu Zhang, Zijing Iyer, Siddharth Srinivasan Chen, Zhifeng Lo, Wei-Ching Liu, Huafeng Wang, Kang He, Hongjian Setsompop, Kawin Zhong, Jianhui Bilgic, Berkin Center for Brain Imaging Science and Technology Department of Biomedical Engineering Zhejiang University Zhejiang Hangzhou China Athinoula A. Martinos Center for Biomedical Imaging Massachusetts General Hospital CharlestownMA United States Department of Radiology Harvard Medical School CharlestownMA United States State Key Laboratory of Modern Optical Instrumentation College of Optical Science and Engineering Zhejiang University Zhejiang Hangzhou China Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology CambridgeMA United States School of Biomedical Engineering Guangdong Provincial Key Laboratory of Medical Image Processing Southern Medical University Guangzhou China Siemens Medical Solutions BostonMA United States Department of Neurology The First Affiliated Hospital School of Medicine Zhejiang University Hangzhou China Harvard-MIT Department of Health Sciences and Technology CambridgeMA United States Department of Imaging Sciences University of Rochester NY United States

Purpose: To rapidly obtain high isotropic-resolution T2 maps with whole-brain coverage and high geometric fidelity. Methods: A T2 blip-up/down echo planar imaging (EPI) acquisition with generalized Slice-dithered enhanced resolution (T2-BUDA-gSlider) is proposed. A radiofrequency (RF)-encoded multi-slab spin-echo EPI acquisition with multiple echo times (TEs) was developed to obtain high SNR efficiency with reduced repetition time (TR). This was combined with an interleaved 2-shot EPI acquisition using blip-up/down phase encoding. An estimated field map was incorporated into the joint multi-shot EPI reconstruction with a structured low rank constraint to achieve distortion-free and robust reconstruction for each slab without navigation. A Bloch simulated subspace model was integrated into gSlider reconstruction and utilized for T2 quantification. Results: In vivo results demonstrated that the T2 values estimated by the proposed method were consistent with gold standard spin-echo acquisition. Compared to the reference 3D fast spin echo (FSE) images, distortion caused by off-resonance and eddy current effects were effectively mitigated. Conclusion: BUDA-gSlider SE-EPI acquisition and gSlider-subspace joint reconstruction enabled distortion-free whole-brain T2 mapping in 2 min at ~1 mm3 isotropic resolution, which could bring significant benefits to related clinical and neuroscience applications. Copyright © 2019, The Authors. All rights reserved.

关键词： Spin polarization

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Online Calibration of Intracortical Neural Interface Based on Transfer Learning

引用

Journal of Physics: Conference Series 2018年第1期1069卷

作者： Bo Peng Wei Li Jiping He School of Automation Huazhong University of Science and Technology Wuhan 430074 P. R. China Image Processing and Intelligent Control Key Laboratory of Education Ministry of China Wuhan 430074 P. R. China Department of Mechanical Engineering Beijing Institute of Technology Beijing 100081 P. R. China

In the application of neural interface, the neural activity of neurons and neuronal groups is not fixed even under the same task conditions. Meanwhile, the recording conditions of neural signals are also very unstable, with a high degree of within-and across-day variability. This results in a very unstable firing pattern for the recorded neural spike signals. In order to get better performance, the decoder often requires a lot of online calibration samples. This brings a heavy training burden to neural interface users. To solve this problem, this paper proposes to apply transfer learning (TL) to online calibration of intracortical neural interface to reduce the dependence of decoder on a large number of online calibration samples. Experimental results show that through transferring from a large amount of historical data, decoder can achieve satisfactory classification accuracy with only a small amount of online data.

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High-Performance Ultraviolet Organic Light-Emitting Diode Enabled by High-Lying Reverse Intersystem Crossing

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Angewandte Chemie 2021年第41期133卷

作者： Han Zhang Ganggang Li Xiaomin Guo Kai Zhang Bing Zhang Xuecheng Guo Yuxuan Li Jianzhong Fan Prof. Zhiming Wang Prof. Dongge Ma Prof. Ben Zhong Tang State Key Laboratory of Luminescent Materials and Devices Guangdong Provincial Key Laboratory of Luminescence from Molecular Aggregates Center for Aggregation-Induced Emission AIE Institute Guangzhou International Campus South China University of Technology Guangzhou 510640 China Shandong Province Key Laboratory of Medical Physics and Image Processing Technology School of Physics and Electronics Shandong Normal University Jinan 250014 China Shenzhen Institute of Aggregate Science and Technology School of Science and Engineering The Chinese University of Hong Kong Shenzhen Shenzhen 518172 China

Ultraviolet (UV) organic emitters that can open up applications for future organic light-emitting diodes (OLEDs) are of great value but rarely developed. Here, we report a high-quality UV emitter with hybridized local and charge-transfer (HLCT) excited state and its application in UV OLEDs. The UV emitter, 2BuCz-CNCz, shows the features of low-lying locally excited (LE) emissive state and high-lying reverse intersystem crossing (hRISC) process, which helps to balance the color purity and exciton utilization of UV OLED. Consequently, the OLED based on 2BuCz-CNCz exhibits not only a desired narrowband UV electroluminescent (EL) at 396 nm with satisfactory color purity (CIE x , y =0.161, 0.031), but also a record-high maximum external quantum efficiency (EQE) of 10.79 % with small efficiency roll-off. The state-of-the-art device performance can inspire the design of UV emitters, and pave a way for the further development of high-performance UV OLEDs.

关键词： hybridized local and charge-transfer state OLEDs record-high EQE reverse intersystem crossing UV emission

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