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MPIN: a macro-pixel integration network for light field super-resolution Research Articles
Xinya Wang, Jiayi Ma, Wenjing Gao, Junjun Jiang,wangxinya@whu.edu.cn,jyma2010@gmail.com,wenjinggao@whu.edu.cn,junjun0595@163.com
Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 10, Pages 1299-1310 doi: 10.1631/FITEE.2000566
Keywords： 光场；超分辨率；宏像素表示
Super Resolution Perception for Improving Data Completeness in Smart Grid State Estimation Article
Gaoqi Liang, Guolong Liu, Junhua Zhao, Yanli Liu, Jinjin Gu, Guangzhong Sun, Zhaoyang Dong
Engineering 2020, Volume 6, Issue 7, Pages 789-800 doi: 10.1016/j.eng.2020.06.006
The smart grid is an evolving critical infrastructure, which combines renewable energy and the most advanced information and communication technologies to provide more economic and secure power supply services. To cope with the intermittency of ever-increasing renewable energy and ensure the security of the smart grid, state estimation, which serves as a basic tool for understanding the true states of a smart grid, should be performed with high frequency. More complete system state data are needed to support high-frequency state estimation. The data completeness problem for smart grid state estimation is therefore studied in this paper. The problem of improving data completeness by recovering high-frequency data from low-frequency data is formulated as a super resolution perception (SRP) problem in this paper. A novel machine-learning-based SRP approach is thereafter proposed. The proposed method, namely the Super Resolution Perception Net for State Estimation (SRPNSE), consists of three steps: feature extraction, information completion, and data reconstruction. Case studies have demonstrated the effectiveness and value of the proposed SRPNSE approach in recovering high-frequency data from low-frequency data for the state estimation.
Keywords： State estimation Low-frequency data High-frequency data Super resolution perception Data completeness
Display Engineers Pack the Pixels
Mitch Leslie
Engineering 2021, Volume 7, Issue 7, Pages 897-898 doi: 10.1016/j.eng.2021.06.002
Study on channcl resolution matching algorithm for HY-2 satellite
Huang Lei,Zhou Wu,Li Yanmin
Strategic Study of CAE 2014, Volume 16, Issue 6, Pages 65-69
Accuracy Satellite Scanning Microwave Radiometer ocean parameters retrieval need brightness temperature of multiple channel from same area and identical resolution. Due to the limitation of spaceborne radiometer antenna design and feedhorn arrangement, each channel has different resolution and observation position, this will increase the ocean parameter retrieval error. Based on the HY-2 Scanning microwave radiometer antenna pattern and imaging geometry, we simulate the ground footprint form different channel, use Backu-Gilbert(BG) algorithm produce a single composite sample at a particular location and with a particular spatial weighting pattern from combination of the adjacent measurements, the low frequency 6.6GHz is set as the reference channel. The result showed that the matching with resolution decreasing could simulate the real instrument observation without introducing noise.
Keywords： scanning microwave radiometer HY-2 resolution matching Backus-Gilbert algorithm
Super-Resolution Displacement Spectroscopic Sensing over a Surface “Rainbow” Article
Lyu Zhou, Nan Zhang, Chang Chieh Hsu, Matthew Singer, Xie Zeng, Yizheng Li, Haomin Song, Josep Jornet, Yun Wu, Qiaoqiang Gan
Engineering 2022, Volume 17, Issue 10, Pages 75-81 doi: 10.1016/j.eng.2022.03.018
Subwavelength manipulation of light waves with high precision can enable new and exciting applications in spectroscopy, sensing, and medical imaging. For these applications, miniaturized spectrometers are desirable to enable the on-chip analysis of spectral information. In particular, for imaging-based spectroscopic sensing mechanisms, the key challenge is to determine the spatial-shift information accurately (i.e., the spatial displacement introduced by wavelength shift or biological or chemical surface binding), which is similar to the challenge presented by super-resolution imaging. Here, we report a unique “rainbow” trapping metasurface for on-chip spectrometers and sensors. Combined with super-resolution image processing, the low-setting 4× optical microscope system resolves a displacement of the resonant position within 35 nm on the plasmonic rainbow trapping metasurface with a tiny area as small as 0.002 mm2. This unique feature of the spatial manipulation of efficiently coupled rainbow plasmonic resonances reveals a new platform for miniaturized on-chip spectroscopic analysis with a spectral resolution of 0.032 nm in wavelength shift. Using this low-setting 4× microscope imaging system, we demonstrate a biosensing resolution of 1.92 × 109 exosomes per milliliter for A549-derived exosomes and distinguish between patient samples and healthy controls using exosomal epidermal growth factor receptor (EGFR) expression values, thereby demonstrating a new on-chip sensing system for personalized accurate bio/chemical sensing applications.
Keywords： Rainbow trapping Metasurface Surface plasmon polaritons Super-resolution displacement On-chip biosensing
Optical Microscopy Advances Reach Sub-Nanometer Resolution
Chris Palmer
Engineering 2023, Volume 31, Issue 12, Pages 11-14 doi: 10.1016/j.eng.2023.11.002
An investigation of local high spatial resolution adaptive PET system
Liu Jingjing,Xie Qingguo
Strategic Study of CAE 2011, Volume 13, Issue 10, Pages 105-112
A critical challenge in positron emission tomography (PET) is to develop affordable systems having high spatial resolution. We imagine a PET system, for imaging a region of interest (ROI) with ultra high performances and other regions with normal performances by use of inhomogeneous performances PET detectors. We propose such a prototype, consisting of a few ultra high intrinsic spatial resolution PET detectors and quite a few normal ones. In this paper, we investigate the effect of the location and the number of high resolution detectors. The high resolution detectors are grouped in a continuous partial ring. The initial results show that such a prototype is capable to bring the advantages of significantly improving the spatial resolution in a ROI. For a specified area, the improvement is influenced by the location and fraction of high resolution detectors in a ring. The encouraging results also indicate the possibilities to regulate detectors to achieve high spatial resolution according to the application, which is possibly formulated.
Keywords： positron emission tomography adaptive PET system region of interest local spatial resolution inhomogeneous performance PET detector
Ablock-based secure and robustwatermarking scheme for color images based onmulti-resolution decomposition and de-correlation Research Articles
Muhammad IMRAN, Bruce A. HARVEY, Muhammad ATIF, Adnan Ali MEMON
Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 7, Pages 946-963 doi: 10.1631/FITEE.1700667
This paper presents a block-based secure and robust watermarking technique for color images based on multi-resolution decomposition and de-correlation. The principal objective of the presented scheme is to simultaneously meet all the four requirements (robustness, security, imperceptibility, and capacity) of a good watermarking scheme. The contribution of this study is to basically achieve the four contradictory requirements that a good watermarking scheme must meet. To do so, different approaches are combined in a way that the four requirements are achieved. For instance, to obtain imperceptibility, the three color channels (red, green, and blue) are de-correlated using principal component analysis, and the first principal component (de-correlated red channel) is chosen for watermark embedding. Afterwards, to achieve robustness, the de-correlated channel is decomposed using a discrete wavelet transform (DWT), and the approximate band (the other three bands are kept intact to preserve the edge information) is further decomposed into distinct blocks. The random blocks are chosen based on a random generated key. The random selected blocks are further broken down into singular values and vectors. Based on the mutual dependency on singular values and vectors’ matrices, the values are modified depending on the watermarking bits, and their locations are saved and used as another key, required when the watermark is to be extracted. Consequently, two-level authentication levels ensure the security, and using both singular values and vectors increases the capacity of the presented scheme. Moreover, the involvement of both left and right singular vectors along with singular values in the watermarking embedding process strengthens the robustness of the proposed scheme. Finally, to compare the presented scheme with the state-of-the-art schemes in terms of imperceptibility (peak signal-to-noise ratio and structural similarity index), security (with numerous fake keys), robustness (normalized correlation and bit error rate), and capacity, the Gonzalez and Kodak datasets are used. The comparison shows significant improvement of the proposed scheme over existing schemes.
Keywords： Copyright protection Data hiding Multi-resolution decomposition De-correlation Security
Wang Guizhong,Zhang Jie,Miao Hongli,Li Guoqiang,Wang Xin
Strategic Study of CAE 2014, Volume 16, Issue 6, Pages 60-64
Significant wave height(SWH) is one of the important parameters which describe the sea state. The SWH derived from altimeter has been widely applied in marine research. Based on HY-2 altimeter waveform data, we develop an inversion algorithm of SWH with high-resolution. Using the RMSE condition to improve the accuracy 20 Hz SWH. Applied this method to one pass waveform data, the result shows the inversion algorithm is effective. Comparing the SWH derived from 1 s waveform, the SWH derived by this method could be increased by about 15 times the spatial and temporal resolution observations and the accuracy is about 0.44 m. The SWH derived from HY-2 altimeter 20 Hz waveform is reliable and could be applied for high resolution marine research.
Keywords： HY-2 significant wave height inversion algorithm high resolution
Improved Matching Algorithms for Linear Face Class Model
Fu Yun,Zheng Nanning
Strategic Study of CAE 2005, Volume 7, Issue 2, Pages 47-56
An advanced matching technique for linear face class model is proposed, which can solve the problem of detailed controlling and robust iteration for the realistic facial modeling. A new method——Dynamic Gaussian Pyramid Analysis (DGPA), which combines Non-Uniform Sampling (NUS) method and Multi-Resolution Analysis, is presented. Integrating the PS Sampling and the Cluster Random Sampling, the distribution of the sampled points in each level images of the Gaussian pyramid is adjusted dynamically. In coarse-to-fine scheme, the minimization algorithm is used to compute the near global optimal solution that may fit to yield accurate model matching. Dynamic adjusting the boundary of the sampling cluster area and the resampling ratio, the detailed representations are effectively controlled, and the model creation is quite robust. An improved Stochastic Gradient Descent (SGD) algorithm based on the Correlative Disturbance (CD) and Adaptive Learning Rate (ALR) is exploited to accelerate iteration convergence and compute valid model parameters. With the examples of MPI Caucasian Face and AI&R Asian Face databases, experimental results in subjective evaluation and objective evaluation demonstrate the advanced model matching technique.
Keywords： facial modeling model matching stochastic gradient descent non-uniform sampling multiresolution analysis
Fluorescence nanoscopy in neuroscience Review
Yangyundou Wang,Jian Lin,Qiming Zhang,Xi Chen,Haitao Luan,Min Gu
Engineering 2022, Volume 16, Issue 9, Pages 29-38 doi: 10.1016/j.eng.2020.11.010
Fluorescence nanoscopy provides imaging techniques that overcome the diffraction-limited resolution barrier in light microscopy, thereby opening up a new area of research in biomedical imaging in fields such as neuroscience. Here, we review the foremost fluorescence nanoscopy techniques, including descriptions of their applications in elucidating protein architectures and mobility, the real-time determination of synaptic parameters involved in neural processes, three-dimensional imaging, and the tracking of nanoscale neural activity. We conclude by discussing the prospects of fluorescence nanoscopy, with a particular focus on its deployment in combination with related techniques (e.g., machine learning) in neuroscience.
Keywords： Fluorescence imaging Diffraction limit Nanoscale resolution Neuroscience
High Resolution Earth's Gravity Field Models DQM99
Shi Pan,xia Zheren,sun Zhongmiao,li Yingchun
Strategic Study of CAE 1999, Volume 1, Issue 3, Pages 51-55
The harmonic series formula of the Earth´s disturbing potential is the most extensive applicable expression for the Earth´s gravity field model. At present, the resolution of the used geopotential coefficient model is 0.5°, and the complete degree and order is 360. Since the gravity data density and precision are very different everywhere, the model accuracy isn´t uniform. The improvement of model is necessary.. The method of the regional correction with frequency weight for improving a known model is a convenient and applicable method. Based on the OSU91A and EGM96 models and regional 15´×15´ △g and 5´×5´ △g, the improved models DQM99A and DQM99B to degree 720, DQM99C and DQM99D to degree 2 160 are developed. Their accuracy comparison is presented in this paper.
Keywords： Earth's gravity field model DQM99 Earth's figure geopotential coefficient model
Chenghai Yang
Engineering 2020, Volume 6, Issue 5, Pages 528-532 doi: 10.1016/j.eng.2019.10.015
Remote sensing technology has long been used to detect and map crop diseases. Airborne and satellite imagery acquired during growing seasons can be used not only for early detection and within-season management of some crop diseases, but also for the control of recurring diseases in future seasons. With variable rate technology in precision agriculture, site-specific fungicide application can be made to infested areas if the disease is stable, although traditional uniform application is more appropriate for diseases that can spread rapidly across the field. This article provides a brief overview of remote sensing and precision agriculture technologies that have been used for crop disease detection and management. Specifically, the article illustrates how airborne and satellite imagery and variable rate technology have been used for detecting and mapping cotton root rot, a destructive soilborne fungal disease, in cotton fields and how site-specific fungicide application has been implemented using prescription maps derived from the imagery for effective control of the disease. The overview and methodologies presented in this article should provide researchers, extension personnel, growers, crop consultants, and farm equipment and chemical dealers with practical guidelines for remote sensing detection and effective management of some crop diseases.
Keywords： Crop disease Airborne imagery High-resolution satellite imagery Cotton root rot Prescription map Variable rate application
A Confocal Endoscope for Cellular Imaging Article
Jiafu Wang,Min Yang,Li Yang,Yun Zhang,Jing Yuan,Qian Liu,Xiaohua Hou,Ling Fu
Engineering 2015, Volume 1, Issue 3, Pages 351-360 doi: 10.15302/J-ENG-2015081
Since its inception, endoscopy has aimed to establish an immediate diagnosis that is virtually consistent with a histologic diagnosis. In the past decade, confocal laser scanning microscopy has been brought into endoscopy, thus enabling in vivo microscopic tissue visualization with a magnification and resolution comparable to that obtained with the ex vivo microscopy of histological specimens. The major challenge in the development of instrumentation lies in the miniaturization of a fiber-optic probe for microscopic imaging with micron-scale resolution. Here, we present the design and construction of a confocal endoscope based on a fiber bundle with 1.4-μm lateral resolution and 8-frames per second (fps) imaging speed. The fiber-optic probe has a diameter of 2.6 mm that is compatible with the biopsy channel of a conventional endoscope. The prototype of a confocal endoscope has been used to observe epithelial cells of the gastrointestinal tracts of mice and will be further demonstrated in clinical trials. In addition, the confocal endoscope can be used for translational studies of epithelial function in order to monitor how molecules work and how cells interact in their natural environment.
Keywords： cellular resolution confocal endoscopy optical biopsy
High-resolution spectral video acquisition Review
Lin-sen CHEN, Tao YUE, Xun CAO, Zhan MA, David J. BRADY
Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 9, Pages 1250-1260 doi: 10.1631/FITEE.1700098
Keywords： Multispectral/hyperspectral video acquisition Snapshot Under-sampling and reconstruction
Title Author Date Type Operation
MPIN: a macro-pixel integration network for light field super-resolution
Xinya Wang, Jiayi Ma, Wenjing Gao, Junjun Jiang,wangxinya@whu.edu.cn,jyma2010@gmail.com,wenjinggao@whu.edu.cn,junjun0595@163.com
Journal Article
Super Resolution Perception for Improving Data Completeness in Smart Grid State Estimation
Gaoqi Liang, Guolong Liu, Junhua Zhao, Yanli Liu, Jinjin Gu, Guangzhong Sun, Zhaoyang Dong
Journal Article
Study on channcl resolution matching algorithm for HY-2 satellite
Huang Lei,Zhou Wu,Li Yanmin
Journal Article
Super-Resolution Displacement Spectroscopic Sensing over a Surface “Rainbow”
Lyu Zhou, Nan Zhang, Chang Chieh Hsu, Matthew Singer, Xie Zeng, Yizheng Li, Haomin Song, Josep Jornet, Yun Wu, Qiaoqiang Gan
Journal Article
An investigation of local high spatial resolution adaptive PET system
Liu Jingjing,Xie Qingguo
Journal Article
Ablock-based secure and robustwatermarking scheme for color images based onmulti-resolution decomposition and de-correlation
Muhammad IMRAN, Bruce A. HARVEY, Muhammad ATIF, Adnan Ali MEMON
Journal Article
The research of inversion algorithm of significant wave height with high resolution based HY-2 waveform data
Wang Guizhong,Zhang Jie,Miao Hongli,Li Guoqiang,Wang Xin
Journal Article
Fluorescence nanoscopy in neuroscience
Yangyundou Wang,Jian Lin,Qiming Zhang,Xi Chen,Haitao Luan,Min Gu
Journal Article
High Resolution Earth's Gravity Field Models DQM99
Shi Pan,xia Zheren,sun Zhongmiao,li Yingchun
Journal Article
Remote Sensing and Precision Agriculture Technologies for Crop Disease Detection and Management with a Practical Application Example
Chenghai Yang
Journal Article
A Confocal Endoscope for Cellular Imaging
Jiafu Wang,Min Yang,Li Yang,Yun Zhang,Jing Yuan,Qian Liu,Xiaohua Hou,Ling Fu
Journal Article
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