- 标题
- 摘要
- 关键词
- 实验方案
- 产品
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3D laser scanning and digital restoration of an archaeological find
摘要： The current paper demonstrates the digital recreation and 3D printing of a missing fragment of an ancient ceramic pottery following digitization using a three dimensional laser scanning. The resulting point-cloud of the laser scans was treated with a series of advanced software for the creation of surfaces and ultimately for a digital model. An analytical methodology is presented revealing the step by step approach, which is an innovative way of recreating a missing fragment. Such approach aims to demonstrate the level of contribution that the ever evolving computer based technologies and 3D printing could bring to cultural heritage. The reverse engineering method presented for the reconstruction of a ceramic pottery, which is a part of the larger field of digital archaeology, is believed to benefit a variety of interested parties including 3D CAD users and designers, archaeologists and museum curators.
关键词： 3D printing,archaeological find,reverse engineering,digital restoration,3D laser scanning
更新于2025-11-21 11:01:37
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[IEEE 2018 26th European Signal Processing Conference (EUSIPCO) - Roma, Italy (2018.9.3-2018.9.7)] 2018 26th European Signal Processing Conference (EUSIPCO) - Spatio-Spectral Multichannel Reconstruction from few Low-Resolution Multispectral Data
摘要： This paper deals with the reconstruction of a 3-D spatio-spectral object observed by a multispectral imaging system, where the original object is blurred with a spectral-variant PSF (Point Spread Function) and integrated over few broad spectral bands. In order to tackle this ill-posed problem, we propose a linear forward model that accounts for direct (or auto) channels and between (or cross) channels degradation, by modeling the imaging system response and the spectral distribution of the object with a piecewise linear function. Reconstruction based on regularization method is proposed, by enforcing spatial and spectral smoothness of the object. We test our approach on simulated data of the Mid-InfraRed Instrument (MIRI) Imager of the James Webb Space Telescope (JWST). Results on simulated multispectral data show a significant improvement over the conventional multichannel method.
关键词： Deconvolution,Image reconstruction,Inverse problems,Multispectral restoration,System modeling
更新于2025-09-23 15:23:52
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[IEEE 2018 International Joint Conference on Neural Networks (IJCNN) - Rio de Janeiro (2018.7.8-2018.7.13)] 2018 International Joint Conference on Neural Networks (IJCNN) - Multi-spectral missing label prediction via restoration using deep residual dictionary learning
摘要： Dictionary learning (DL) is one of the popular sparse coding machine learning techniques. In image processing literature, every input image is represented as the sparse linear combination of basis vectors. DL has been shown to have wide applications for image restoration as well as pattern recognition problems. In DL, the input image is factorized into dictionary and sparse codes. This factorization always leaves a residual or approximation error. Very few works in the literature had focused on to leverage the information present in this residual. In this paper, we use residuals within our framework and show that the restoration performance or accurate prediction of missing label in multi-spectral images can be significantly improved over conventional DL based techniques. We initially show that the higher order frequencies are propagated through residuals. Then we show that incorporating this residual in the image restoration methodology can significantly improve the outcomes. Finally, we propose a technique to solve the problem of missing label prediction by using a restoration based deep residual dictionary learning framework.
关键词： Dictionary learning,Restoration,Sparse coding,In-painting,Residuals,Label prediction
更新于2025-09-23 15:23:52
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Underwater Imaging Based on LF and Polarization
摘要： The underwater image restoration based on polarization information has achieved good results in improving the image quality in scattering media. However, the previous methods are difficult to obtain the true distribution of degree of polarization in the scene. In this paper, we combine synthetic aperture imaging with polarimetric imaging, and propose a method for retrieving radiation of object based on the degree of polarization and intensity of backscattering at the multi-view image. In addition, compared with the previous methods, the proposed method can achieve simultaneous acquisition of 4D light field information and polarization information, effectively increasing the information dimension obtained by single imaging. In order to verify the effectiveness and superiority of the proposed method, we have established a relevant experimental platform and compared with the experimental results of the previous methods, and obtained the expected experimental results.
关键词： synthetic aperture imaging,polarimetric imaging,underwater image restoration
更新于2025-09-23 15:23:52
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Iterative Adaptive Nonconvex Low-Rank Tensor Approximation to Image Restoration Based on ADMM
摘要： In this paper, in order to recover more ?ner details of the image and to avoid the loss of image structure information for image restoration problem, we develop an iterative adaptive weighted core tensor thresholding (IAWCTT) approach based on the alternating direction method of multipliers (ADMM). By observing the decoupling property of the ADMM algorithm, we ?rst propose that the key step to image restoration is to tackle the denoising subproblem ef?ciently using appropriate prior information. Secondly, by analyzing the properties of the core tensor, we propose that low-rank tensor approximation can be implemented by penalizing the core tensor itself, instead of penalizing the CP rank, Tucker rank or the multilinear rank and Tubal rank. The IAWCTT approach is proposed to solve the denoising subproblem in the ADMM framework, and we claim that such an adaptive weighted scheme is equivalent to a kind of nonconvex penalty for the core tensor; thus, it is unnecessary to use the nonconvex penalty term to induce strong sparse/low-rank solution in image restoration optimization problem, because the scheme that selecting appropriate weights to the convex penalty term can also lead to strong sparse/low-rank solution. Numerical experiments show that our proposed model and algorithm are comparable to other state-of-the-art models and methods.
关键词： Image restoration,Low-rank tensor approximation,ADMM,Nonconvex penalty
更新于2025-09-23 15:23:52
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Research on Spatially Adaptive High-Order Total Variation Model for Weak Fluorescence Image Restoration
摘要： Confocal laser scanning microscopy (CLSM) has emerged as one of the most advanced ?uorescence cell imaging techniques in the ?eld of biomedicine. However, ?uorescence cell imaging is limited by spatial blur and additive white noise induced by the excitation light. In this paper, a spatially adaptive high-order total variation (SA-HOTV) model for weak ?uorescence image restoration is proposed to conduct image restoration. The method consists of two steps: optimizing the deconvolution model of the ?uorescence image by the generalized Lagrange equation and alternating direction method of multipliers (ADMM); using spatially adaptive parameters to balance the image ?delity and the staircase e?ect. Finally, an comparison of SA-HOTV model and Richardson-Lucy model with total variation (RL-TV model) indicates that the proposed method can preserve the image details ultimately, reduce the staircase e?ect substantially and further upgrade the quality of the restored weak ?uorescence image.
关键词： weak ?uorescence,spatially adaptive high-order total variation (SA-HOTV),image restoration,confocal microscopy
更新于2025-09-23 15:23:52
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Energy Management and Coordinated Control Strategy of PV/HESS AC Microgrid during Islanded Operation
摘要： An energy management control strategy is proposed for an islanded AC microgrid with the hybrid energy storage system (HESS) including the battery and the supercapacitor (SC). According to the state of charge(SOC) of the battery, the photovoltaic (PV) system can work in either maximum power point tracking (MPPT) mode or load power tracking (LPT) mode to prevent the battery from over charging. Similarly, the load shedding control (LSC) is adopted to prevent the battery from over discharging. A virtual impedance control strategy is proposed to achieve effective power sharing in hybrid energy storage systems, where battery provides steady state power and SC only supports transient power fluctuations. The terminal voltage of SC can be restored to the initial value automatically by introducing a high pass filter in the voltage control loop. The AC bus voltage maintains constant using the voltage secondary controller to compensate the voltage droop caused by the virtual impedance control strategy. Simulation results under typical working conditions verify the correctness and effectiveness of the proposed control strategy.
关键词： hybrid energy storage system (HESS),energy management,state of charge (SOC),Coordinated control,voltage restoration,islanded operation,virtual impedance
更新于2025-09-23 15:23:52
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Optische Koh?renztomografie
摘要： With telematics and technologies like “Digital Impression”, “CAD/CAM” or “3D-radiography” the digitalization has reached the dental practice by now. The desire for more efficient diagnostics is especially addressed by 3D-radiography. A noninvasive imaging technology with a considerable diagnostic potential is the optical coherence tomography. In this article, promising examples of OCT use in operative dentistry are presented that raise expectations of a wide range of applications of this innovative technology in dentistry.
关键词： restoration assessment,caries diagnosis,optical coherence tomography,restorative therapy with composite,monitoring,tomography
更新于2025-09-23 15:23:52
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On image restoration from random sampling noisy frequency data with regularization
摘要： Consider the image restoration using random sampling noisy frequency data by total variation regularization. By exploring image sparsity property under wavelet expansion, we establish an optimization model with two regularizing terms specifying image sparsity and edge preservation on the restored image. The choice strategy for the regularizing parameters is rigorously set up together with corresponding error estimate on the restored image. The cost functional with data-fitting in the frequency domain is minimized using the Bregman iteration scheme. By deriving the gradient of the cost functional explicitly, the minimizer of the cost functional at each Bregman step is also generated by an inner iteration process with Tikhonov regularization, which is implemented stably and efficiently due to the special structure of the regularizing iterative matrix. Numerical tests are given to show the validity of the proposed scheme.
关键词： Image restoration,iteration,numerics,total variation,wavelet sparsity,error estimate
更新于2025-09-23 15:23:52
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Space-variant generalised Gaussian regularisation for image restoration
摘要： We propose a new space-variant regularisation term for variational image restoration based on the assumption that the gradient magnitudes of the target image distribute locally according to a half-Generalised Gaussian distribution. This leads to a highly ?exible regulariser characterised by two per-pixel free parameters, which are automatically estimated from the observed image. The proposed regulariser is coupled with either the L2 or the L1 ?delity terms, in order to e?ectively deal with additive white Gaussian noise or impulsive noises such as, e.g. additive white Laplace and salt and pepper noise. The restored image is e?ciently computed by means of an iterative numerical algorithm based on the alternating direction method of multipliers. Numerical examples indicate that the proposed regulariser holds the potential for achieving high-quality restorations for a wide range of target images characterised by di?erent gradient distributions and for the di?erent types of noise considered.
关键词： alternating direction method of multipliers,half-Generalised Gaussian distribution,Image restoration,variational methods
更新于2025-09-23 15:23:52