检索结果-内蒙古大学图书馆

Infrared image super-resolution reconstruction based on residual fast fourier transform

Multimedia Tools and Applications 2025年第9期84卷 6805-6823页

作者： Li, Xianguo Liu, Rui Yang, Yanli School of Electronics and Information Engineering Tiangong University Tianjin China Tianjin Key Laboratory of Optoelectronic Detection Technology and System Tianjin China

Infrared images have been widely used in military, civilian, and industrial fields. Due to the inherent limitations of sensors, infrared images usually have some disadvantages such as low resolution and blurred texture details. How to improve the resolution of infrared images without changing hardware devices has become a current research hotspot. Aiming at the problem that the existing infrared image super-resolution reconstruction methods do not utilize the image details sufficiently, this paper proposes an infrared image super-resolution reconstruction algorithm based on residual fast fourier transform(ISRRFT). The image features are extracted in both spatial domain and frequency domain, so as to fully extract the high-frequency and low-frequency information components of infrared images and improve the quality of reconstructed infrared images In addition, the learnable fast fourier transform loss function has been introduced, which is used in conjunction with the L1 loss function to calculate the loss from both the spatial and frequency domains, thus better optimizing the model parameters. The test results on three test sets, SR1280, IRData and Infrared20, show that the proposed algorithm has an optimal performance in terms of both objective and subjective evaluation metrics compared to current representative algorithms. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Image reconstruction

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Unrolling Reweighted Total Variation-Based Split Bregman Iterative Framework for Electrical Impedance Tomography Image Reconstruction

IEEE Transactions on Computational Imaging

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IEEE Transactions on Computational Imaging 2025年 11卷 748-763页

作者： Wang, Zichen Zhang, Tao Wang, Qi Tiangong University School of Electronic and Information Engineering Tianjin300387 China Tiangong University Tianjin Key Laboratory of Optoelectronic Detection Technology and System Tianjin300387 China

Electrical impedance tomography (EIT) is one of the typical ill-posed inverse problems, where serious ill-posedness and the linear approximation of the forward operator lead to obvious distortions and artifacts in the degraded reconstructions, further limiting its practical application. The learning-based strategies with image enhancement have been introduced into EIT reconstruction and also achieved improvements. Nevertheless, this idea ignores the priori knowledge of physical information, while not fully exploiting data consistency, resulting in poor generalization and interpretability. In this work, a reweighted Split Bregman (SB) iterative algorithm is proposed regularized by total variation firstly, referred to as RwTVSB. Moreover, the RwTVSB iteration is unrolled into a neural network-based learning framework, dubbed as RwTVSB-Net. The reweighted matrix is introduced to the SB iteration, which could overcome the loss of information of the forward operator due to the linear approximation and also enhance the constraints of the physical priori. Specifically, (1) a network based on residual connection and SE-attention is designed to update the reweighted matrix. (2) Further, a U-shaped architecture with deformable large kernel convolution, dilated convolution, and cross-attention is embedded into this unrolling framework to learn the soft threshold operator. This not only maintains consistency with the RwTVSB iterative algorithm but also uses multi-scale features to fusion information at multiple levels. Both simulated and real-world measured data are employed to validate the effectiveness and advantages of the proposed RwTVSB-Net. The visual reconstructions and quantitative metrics show that RwTVSB-Net outperforms other state-of-the-art methods. In addition, the robustness of the method is tested and validated on multiple imaging tasks. © 2015 IEEE.

关键词： Electric impedance tomography

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Shape recognition and size measurement of particles in hybrid particle field based on interference technology

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optoelectronics Letters 2024年第8期20卷 472-476页

作者： SUN Jinlu QIU Yue WU Yuhang ZHAO Dan MIAO Changyun Tianjin Key Laboratory of Optoelectronic Detection Technology and System Tianjin 300387China School of Electronic and Information Engineering Tiangong UniversityTianjin 300387China

An algorithm that can implement particle shape recognition and size measurement in hybrid particle field is *** on the defocused images obtained by the interferometric particle imaging(IPI)system,shape recognition of particles can be realized through Res ***-dimensional(2D)Fourier transform and 2D autocorrelation transform are used to obtain the size of spherical and non-spherical particles,*** shape and size of the particle in hybrid particle field are *** simulation and experiment results suggest that the method has good accuracy in measuring the particle size in hybrid particle field.

关键词： field particle size

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A Multimodal Approach for Prediction of Plastic Color Formulation with Transformers and Convolutional Networks 24

A Multimodal Approach for Prediction of Plastic Color Formul...

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13th International Conference on Computing and Pattern Recognition, ICCPR 2024

作者： Geng, Lei Sun, Huiyu Wang, Wen Xiao, Zhitao Zhang, Fang Liu, Yanbei School of Life Sciences Tianjin Key Laboratory of Optoelectronic Detection Technology and System Tiangong University Tianjin China

ISBN: (纸本)9798400717482

Color formulation prediction aims to get different target colors based on a specified color range. It was difficult for existing color matching methods to achieve accurate nonlinear mapping from target colors to formulations due to the overlook of the global and local features of color information. Global featuress represent the long-range variation trends of the input information, while local features represent the numerical characteristics of the input data. To address this issue, a novel feature extraction block based on Transformer and parallel convolutional neural network was proposed for the first time. By integrating this block with a color feature extractor after the fusion of color features, a multimodal color feature fusion network framework was constructed to comprehensively learn the nonlinear mapping between multi-modal inputs and formulations, formulation reflectance curves. This network framework achieved a total loss of 0.0421 and a formulation loss of 0.0391 on test set, indicating more accurate color formula predictions. © 2024 Copyright held by the owner/author(s).

关键词： Convolutional neural networks

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A Novel Multi-Objective Synchronous Optimal Subarray Partition Method for Transmitting Array in Microwave Wireless Power Transmission

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Progress In Electromagnetics Research C 2024年 142卷 195-206页

作者： Li, Jianxiong Wang, Chen School of Electronic and Information Engineering Tiangong University Tianjin China Tianjin Key Laboratory of Optoelectronic Detection Technology and Systems Tianjin China

To improve the beam collection efficiency (BCE) of the microwave wireless power transmission (MWPT) system while reducing the peak sidelobe level outside the receiving area (CSL) and system cost, this paper proposes a new subarray partition technique and a nonuniform sparsely distributed quadrant symmetric planar array (NSDQSPA) model. A particle swarm optimization algorithm based on multiple-objective with nonlinear time-variant inertia and learning factor improved particle swarm optimization (MO-NTVILFIPSO) is also proposed. The one-step multi-objective subarray partition algorithm adopts dynamic weight and dynamic learning factor to carry out one-step optimization on the array element arrangement of the transmitting array. The optimization algorithm simultaneously optimizes two performance indicators: the ∆BCE, which represents the optimization accuracy for the BCE, and the αref, which represents the mean square error of the excitation amplitude before and after the subarray partition. Many simulation results show that the BCE is 94.91%, and the CSL is −13.41 dB when the transmitting array with an aperture of 4.5λ × 4.5λ is divided into six subarrays. The simulation results further demonstrate that the proposed subarray division method is appropriate for the MWPT system and that the algorithm in this paper, when the array elements with the same excitation amplitude are divided for the planar transmitting array on the array model, and can guarantee relatively high BCE and relatively low complexity of the system feed network. © 2024, Electromagnetics Academy. All rights reserved.

关键词： Mean square error

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A Novel Synthesis Method of a Sparse Rectangular Planar Receiving Array for Microwave Power Transmission

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Progress In Electromagnetics Research C 2023年 134卷 11-25页

作者： Li, Jianxiong Liu, Shuo School of Electronics and Information Engineering Tiangong University Tianjin China Tianjin Key Laboratory of Optoelectronic Detection Technology and Systems Tianjin China

A novel synthesis method of a sparse rectangular planar receiving array (SRPRA) to maximize the power transmission efficiency (PTE) for microwave power transmission (MPT) is proposed in this paper. The array element positions of the SRPRA are symmetrically distributed among different quadrants such that the array elements at symmetrical positions receive the same power, and the SRPRA adopts a sparse layout. This reduces the number of array elements and simplifies the complexity of the feeding network. An improved adaptive chaotic particle swarm optimization (IACPSO) algorithm is proposed for the optimization synthesis problem of the SRPRA. Through the optimization of the proposed IACPSO algorithm, the optimal element layout of the SRPRA can be obtained efficiently to get the maximum PTE. In addition, we conduct a series of simulation experiments to verify the advantages of the proposed SRPRA model and the effectiveness of the IACPSO algorithm. Firstly, we analyze the effects of different parameters on the synthesis results of the SRPRA. Secondly, comparing the results with those of the sparse random circular aperture array (SRCAA), it is demonstrated that the SRPRA synthesized with the IACPSO algorithm can obtain higher PTE with fewer elements and has a relatively simple feeding network. Finally, compared with the standard particle swarm optimization (SPSO) algorithm, the proposed IACPSO algorithm can effectively and stably obtain the synthesis results of the SRPRA under different parameters. Therefore, the SRPRA is suitable for creating an efficient MPT system. © 2023, Electromagnetics Academy. All rights reserved.

关键词： Particle swarm optimization (PSO)

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A Novel Receiving Subarray Partition Layout Model for Microwave Power Transmission with Smaller Power Dispersion

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Progress In Electromagnetics Research C 2023年 131卷 241-257页

作者： Li, Jianxiong Qin, Wen School of Electronics and Information Engineering Tiangong University Tianjin China Tianjin Key Laboratory of Optoelectronic Detection Technology and Systems Tianjin China

—A novel subarray layout method is proposed for the problems of high power dispersion and high complexity of the existing layout methods of receiving rectifier antenna arrays. By the traditional RF synthesis and DC synthesis array layout, the number of units used is high, and the received power dispersion is high. Therefore, this paper proposes a uniform non-overlapping triangular subarray partition layout, and the layout takes three discrete parameters of subarray type, subarray position, subarray placement direction as optimization variables. The minimum dispersion of the received power of the subarray is used as the optimization objective to establish the optimization model. We adopt the Taboo Search (TS) algorithm to achieve the global optimum by setting up a taboo table for global neighborhood search and homogenize the received microwave power value from each subarray. The result shows a lower coefficient of variation (CV ) with fewer subarrays and a globally symmetric subarray layout, which reduces the engineering complexity and cost of the subsequent rectification circuit, as well as a lower dimensional span between different subarray types in this novel subarray layout model. We conducted a series of numerical simulations to prove that the method can meet the requirement of minimum power dispersion while ensuring that the total reception efficiency will not be greatly reduced, which verifies the effectiveness of this receiving subarray layout method. © 2023, Electromagnetics Academy. All rights reserved.

关键词： Electric power transmission

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Automatic Segmentation of Diabetic Macular Edemas and ILM-RPE Layers in Retinal OCT Images Based on MFANet 23

Automatic Segmentation of Diabetic Macular Edemas and ILM-RP...

引用

9th International Conference on Computing and Artificial Intelligence, ICCAI 2023

作者： Liu, Shuang Wu, Jun Xiao, Zhitao Geng, Lei Zhang, Fang School of Electronics and Information Engineering Tianjin Key Laboratory of Optoelectronic Detection Technology and System TianGong University Tianjin300387 China School of Life Sciences Tianjin Key Laboratory of Optoelectronic Detection Technology and System TianGong University Tianjin300387 China

ISBN: (纸本)9781450399029

Aiming at the problems of blurred boundary and low segmentation accuracy of existing retinal OCT image segmentation methods, this paper designs a MFANet semantic segmentation model based on encode-decoder for the purpose of accurate segmentation of diabetic macular edemas and ILM-RPE layers, and proposes an automatic retinal OCT image segmentation method based on this model. This method takes the DeepLabV3+ network as the main body and improves the dilated convolution part, which can fully extract the multiscale features of the lesions and obtain a large enough receptive field to effectively balance the local and global information of the retina;the decoder increases the attention feature integration module, reduces information reduction and enlarges the global dimension interaction feature. The introduced global attention effectively strengthens the model’s learning of important features of retinal image. The experimental results show that the proposed method has better segmentation effect than the existing methods, and the MIoU reaches 85.82%. It can extract the macular edema regions quickly and accurately, identify the boundary information better, and provide a quantitative analysis tool for clinical diagnosis and treatment. © 2023 Copyright held by the owner/author(s).

关键词： Semantic Segmentation

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Resin-Based Dielectric Terahertz Metalens and Applications

Resin-Based Dielectric Terahertz Metalens and Applications

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2023 Cross Strait Radio Science and Wireless technology Conference, CSRSWTC 2023

作者： Shi, Jia Wang, Guanlong Xu, Cong School of Electronic and Information Engineering Tianjin Key Laboratory of Optoelectronic Detection Technology and System Tiangong University Tianjin300387 China

ISBN: (纸本)9798350358971

All-dielectric metalenses have become a research hotspot because of their high-efficiency and customizable features. Here, a resin-based dielectric metalens is designed by two-dimensional circumferential metagrating arrays for terahertz imaging beyond classical physical diffraction limit. The metalens is fabricated with UV -sensitive resin by a photo curing 3D printer. With the proposed scheme, the terahertz beam can be focused as a filamentous focal spot in sub-wavelength scale with a long depth of focus. As its demonstration in terahertz imaging applications, the printed transmission lines on the PCB board can be clearly imaged. The proposed metalens shows great potential in high-resolution 6G terahertz spatial sensing and imaging. © 2023 IEEE.

关键词： metagrating metalens THz imaging

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Label-Free Evaluation of Treatment Efficacy in Laser Therapy by Terahertz Imaging

Label-Free Evaluation of Treatment Efficacy in Laser Therapy...

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2023 Cross Strait Radio Science and Wireless technology Conference, CSRSWTC 2023

作者： Xu, Cong Wang, Guanlong Shi, Jia School of Electronic and Information Engineering Tianjin Key Laboratory of Optoelectronic Detection Technology and System Tiangong University Tianjin300387 China

ISBN: (纸本)9798350358971

Low-level laser therapy (LLLT) is a promising non-invasive treatment method in biomedical science. Rapid and high-sensitivity imaging evaluation of treatment efficacy in LLLT always remains changeling. To address this issue, here the confocal terahertz imaging is used to label-free evaluation of treatment efficacy in LLLT on ALI. The results show that terahertz imaging can effectively evaluate the therapeutic effect of LLLT on ALI with the advantages of high sensitivity. © 2023 IEEE.

关键词： label-free Low-level laser therapy (LLLT) THz imaging

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