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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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Solar Wings' 3D Deformation Measurement of Videometrics System

Solar Wings' 3D Deformation Measurement of Videometrics Syst...

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2016 International Conference on Mechatronics Engineering and Information Technology(ICMEIT 2016)

作者： Fengzhe Zhang Jiexin Zhou Guangcheng Dai Yijie Bian Xia Yang College of Aerospace science and Engineering National University of Defense Technology Hunan Provincial Key Laboratory of Image Measurement and Vision Navigation College of Computer National University of Defense Technology

ISBN: (纸本)9781510829039

In this paper, we proposed a novel videometrics system application based on binocular stereovision. And we successfully measured three-dimensional(3D) deformation of the solar wings plane. Videometrics has its inherent advantages in solving these problems, which can provide a non-contact, automatic, dynamic and high precision measurement. This system mainly includes camera calibration module, image feature point matching module and 3D model display module. Camera calibration is a key technology of stereoscopic calibration. We applied Zhang Zhengyou new approach, which is widely used to calibrate the camera. For the image matching part, we used the correlation matching method and Ackerman Least Squares method, which can achieve accuracy of 1/10 or even 1/100 pixel. To further optimize the process, epipolar constraint was adopted. Two-dimensional search can be converted into a one-dimensional search, thereby highly reducing the matching computation. Moreover, 3D space measured results obtained in the target point test can be displayed in the system. With the target region segmentation statistics, the correct result is more vividly displayed and accurately measured. Based on the proposed method we have designed the measurement software and simulate the solar wings' s 3D deformation measurement experiment. The re-projection error for both of stereo cameras is no more than 0.2 pixel. The height difference of solar wings plane is 0.014 mm. The method proposed in this paper has significance both on the theory and application.

关键词： Solar wings Videometrics Binocular stereovision Camera Calibration Least squares scene matching Epipolar constraint

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A Novel Distributed Quantum-Behaved Particle Swarm Optimization

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Journal of Optimization 2017年第1期2017卷

作者： Yangyang Li Zhenghan Chen Yang Wang Licheng Jiao Yu Xue Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education International Research Center for Intelligent Perception and Computation Joint International Research Laboratory of Intelligent Perception and Computation Xidian University Xi’an Shaanxi Province 710071 *** School of Computer and Software Nanjing University of Information Science and Technology (NUIST) Nanjing 210044 ***

Quantum-behaved particle swarm optimization (QPSO) is an improved version of particle swarm optimization (PSO) and has shown superior performance on many optimization problems. But for now, it may not always satisfy the situations. Nowadays, problems become larger and more complex, and most serial optimization algorithms cannot deal with the problem or need plenty of computing cost. Fortunately, as an effective model in dealing with problems with big data which need huge computation, MapReduce has been widely used in many areas. In this paper, we implement QPSO on MapReduce model and propose MapReduce quantum-behaved particle swarm optimization (MRQPSO) which achieves parallel and distributed QPSO. Comparisons are made between MRQPSO and QPSO on some test problems and nonlinear equation systems. The results show that MRQPSO could complete computing task with less time. Meanwhile, from the view of optimization performance, MRQPSO outperforms QPSO in many cases.

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A New Approach to Self-triggered Consensus Analysis in Networks with Switching Topologies

A New Approach to Self-triggered Consensus Analysis in Netwo...

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第28届中国控制与决策会议

作者： Bo Liu Wenlian Lu Licheng Jiao Tianping Chen Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education Xidian University International Research Center for Intelligent Perception and Computation Xidian University Centre for Computational Systems Biology Fudan University School of Mathematical Sciences Fudan University School of Computer Sciences Fudan University

ISBN: (纸本)9781467397155

In this paper,we propose a new approach for the analysis of distributed self-triggered consensus *** relating the event-triggered system to a discrete-time system which often appears in sampled-data control,we establish some new results that enables us to analyze event-triggered consensus under more general networks topologies,especially networks with dynamically switching topologies.

关键词： Consensus Multi-agent Systems Self-triggered Switching Topology

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IEEE International Symposium on Information (IT) in Medicine and Education, ITME

作者： Shuihua Wang Yi Chen Meng-Meng Yang Hai-Nan Wang Xue-Yan Wu Bin Liu Ming Yang Yudong Zhang School of Computer Science and Technology Nanjing Normal University Nanjing China Key Laboratory of Image and Video Understanding for Social Safety (Nanjing University of Science and Technology) Nanjing China Department of Radiology Zhong-Da Hospital of Southeast University Nanjing China Department of Radiology Nanjing Medical University Nanjing China

ISBN: (纸本)9781509039074

Diffusion tensor imaging (DTI) offers an efficient evaluation over microstructure of white matter integrity. In this study, we aim to study the white matter tracts, which are associated with normal ageing. 42 healthy subjects were included, which is composed of two groups. One is young subjects (age = 22.29±1.35), and the other is elder (age = 63.71±2.00). Statistical analysis over FA was carried out by TBSS. We observed FA decreases significantly in several white matter tracts, including anterior thalamic radiation (ATR), cingulum (cingulate gyrus), corticospinal tract (CST), forceps minor, forceps major, inferior longitudinal fasciculus (ILF), superior longitudinal fasciculus (SLF). Most found all tracts were reported in past literatures. Nevertheless, we are the first to find the relationship between forceps major and ageing.

关键词： Aging Alzheimer's disease Magnetic resonance imaging Tools Neuroscience

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Corrigendum to “A spam filtering multi-objective optimization study covering parsimony maximization and three-way classification” [Applied Soft Computing Volume 48 (2016) 111–123]

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Applied Soft Computing 2017年 55卷 565-565页

作者： Vitor Basto Fernandes Iryna Yevseyeva José R. Méndez Jiaqi Zhao Florentino Fdez-Riverola Michael T.M. Emmerich School of Technology and Management Computer Science and Communications Research Centre Polytechnic Institute of Leiria 2411-901 Leiria Portugal School of Computer Science and Informatics Faculty of Technology De Montfort University LE1 9BH Leicester United Kingdom Informatics Engineering School University of Vigo Campus Universitario As Lagoas s/n 32004 Ourense Spain Key Laboratory of Intelligent Perception and Image Understanding of the Ministry of Education International Research Center for Intelligent Perception and Computation Xidian University Xian Shaanxi Province 710071 China Leiden Institute of Advanced Computer Science Faculty of Science Leiden University 2333-CA Leiden The Netherlands

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Multi-resolution image Analysis Using Reduced Quaternion Wavelet Matrix

Multi-resolution Image Analysis Using Reduced Quaternion Wav...

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2nd International Conference on Communication Technology(ICCT 2015)

作者： Shan Gai School of Computer Science and Engineering of Southeast University Jiangsu P.R.China Jiangsu Key Laboratory of Image and Video Understanding for Social Safety Nanjing University of Science and Technology

Quaternion wavelet transform(QWT) using matrix-valued wavelets(RQWM) can process the components of vector-valued signals such as color image. In this paper, we extend QWT to reduced quaternion wavelet transform(RQWT). In order to further encode color information as a whole, we proposed to generalize the framework of reduced quaternion wavelet transform matrix(RQWM), which contains reduced quaternion filter bank and multi-resolution analysis(MMRA). Finally, we construct a first color reduced quaternion filter bank: color Shannon RQWT.

关键词： Multi-channel wavelet Reduced quaternion wavelet Multi-wavelet

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Synthesizing and editing dynamic flames with color temperature

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Chinese Science Bulletin 2014年第36期59卷 5379-5392页

作者： Zhaohui Wu Zhong Zhou Fei Dou Ye Duan Wei Wu State Key Laboratory of Virtual Reality Technology and Systems Beihang University Computer Graphics and Image Understanding Laboratory University of Missouri Columbia MO 65211 USA

Generating computer animated flames is a difficult and computationally expensive problem. Dynamic textures provide an effective means for extrapolating and synthesizing dynamic flames, but aggravates color distortion due to the high correlation of RGB components. A novel method for dynamic flame texture synthesis using color temperature is proposed in this paper. Firstly, the colortemperature mapping is calculated by using the Planck's law and two-color pyrometric technique to avoid color distortion. Secondly, a novel dynamic texture model is presented to transform the RGB space into temperature space. Finally,the dynamic flames editing is presented to support physical temperature adjustment. Experimental results illustrate that our approach is effective to synthesize visually plausible dynamic flames without color distortions and to edit dynamic flames with intuitive physical interpretation.

关键词：纹理合成火焰色温编辑 RGB空间计算问题彩色失真温度调节

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Corrigendum to ‘Multiobjective optimization of classifiers by means of 3D convex-hull-based evolutionary algorithms’ [Information Sciences volumes 367–368 (2016) 80–104]

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Information Sciences 2017年 403-404卷 55-55页

作者： Jiaqi Zhao Vitor Basto Fernandes Licheng Jiao Iryna Yevseyeva Asep Maulana Rui Li Thomas Bäck Ke Tang Michael T.M. Emmerich Key Laboratory of Intelligent Perception and Image Understanding of the Ministry of Education International Research Center for Intelligent Perception and Computation Joint International Research Laboratory of Intelligent Perception and Computation Xidian University Xi'an Shaanxi Province 710071 China School of Technology and Management Computer Science and Communications Research Centre Polytechnic Institute of Leiria 2411-901 Leiria Portugal Faculty of Technology De Montfort University Gateway House 5.33 The Gateway LE1 9BH Leicester UK Multicriteria Optimization Design and Analytics Group LIACS Leiden University Niels Bohrweg 1 2333-CA Leiden The Netherlands Microsoft Research Asia Beijing 100190 China Nature Inspired Computation and Applications Laboratory (NICAL) the USTC-Birmingham Joint Research Institute in Intelligent Computation and Its Applications (UBRI) School of Computer Science and Technology University of Science and Technology of China (USTC) Hefei Anhui 230027 China

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Fast -norm-based single image blind deblurring: A comparative study 12

Fast -norm-based single image blind deblurring: A comparativ...

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12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015

作者： Shao, Wen-Ze Xie, Shi-Peng Ge, Qi Li, Hai-Bo Huang, Li-Li Wei, Zhi-Hui College of Telecommunications and Information Engineering Nanjing University of Posts and Telecommunications Nanjing210003 China Jiangsu Key Laboratory of Image and Video Understanding for Social Safety Nanjing University of Sci. and Tech. Nanjing210094 China School of Science Guangxi University of Science and Technology Liuzhou545006 China School of Computer Science and Technology Nanjing University of Science and Technology Nanjing210094 China

ISBN: (纸本)9781467376822

Single image blind deblurring has been intensively studied since Fergus et al.'s variational Bayes method in 2006. It is now commonly believed that the blur-kernel estimation accuracy is highly dependent on the pursed salient edge information from the blurred image, which stimulates numerous 0-approximating blind deblurring methods via kinds of techniques and tricks. This paper, however, focuses on the four recent daring attempts which are all based on the simple and direct 0-norm. A systematic comparative analysis is made towards those methods, clarifying their similarities and differences, and providing a benchmark evaluation on both the deblurring quality and computational efficiency. Results have demonstrated that the 0-norm alone is far enough to achieve top blind deblurring performance. Instead, details are to be paid with fairly more attention as working on the problem formulation as well as the algorithmic deduction. Besides, three possible extensions are analyzed on the most leading bi-l0-l2-norm regularization-based blind deblurring method. © 2015 IEEE.

关键词： Computational efficiency

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