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Video and image quality improvement using an enhanced optimized dehazing technique

Multimedia Tools and Applications 2024年 1-19页

作者： Ayoub, Abeer El-Shafai, Walid El-Samie, Fathi E. Abd Hamad, Ehab K. I. EL-Rabaie, El-Sayed M. Electrical Engineering Department Faculty of Engineering Aswan University Aswan81542 Egypt Department of Electronics and Electrical Communication Engineering Faculty of Electronic Engineering Menoufia University Menouf32952 Egypt Security Engineering Lab Computer Science Department Prince Sultan University Riyadh11586 Saudi Arabia Department of Information Technology College of Computer and Information Sciences Princess Nourah Bint Abdulrahman University P.O. Box 84428 Riyadh11671 Saudi Arabia

The detrimental effects of atmospheric haze frequently plague outdoor imagery. This phenomenon arises from the scattering of light by minute particles within the ambient environment surrounding the scene to be imaged. Haze engenders an overall whitening of the image, leading to diminished contrast. To address these issues and enhance the quality of hazy images and videos, an enhanced dehazing technique is proposed. The proposed technique includes image enhancement before the optimal dehazing process. The enhancement stage entails the implementation of both homomorphic processing and Contrast Limited Adaptive Histogram Equalization (CLAHE), serving to control the image dynamic range, while concurrently heightening the image contrast. The culminating stage encompasses an optimized dehazing technique, adept at expunging haze-induced artifacts from images. The homomorphic processing and CLAHE, applied in the pre-processing step, establish a foundation for the subsequent dehazing procedure. This proposed methodology is systematically applied to a gamut of visual outputs, including visible videos, Near-Infrared (NIR) frames, and authentic hazy images. Comparative evaluations of the proposed technique, homomorphic-processing-based enhanced dehazing, and standalone dehazing techniques is undertaken on different video types encompassing five frames. It is evident that the proposed technique, synergizing the homomorphic processing, CLAHE, and dehazing, outperforms alternative strategies. Furthermore, the proposed technique is subjected to a comparative study with various existing dehazing techniques over real hazy images. The assessment depends on Peak Signal-to-Noise Ratio (PSNR), correlation, and entropy metrics. The results underscore the efficacy of the proposed technique, particularly in terms of spectral entropy enhancement of dehazed frames. For both visible and NIR frames, the percentages of enhancement by the proposed technique are 17.66% and 118.48%, respectively. ©

关键词： Image enhancement

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A Liquid-Metal-Based, Stretchable Inductive Loop Sensor for Muscle Atrophy

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IEEE Antennas and Wireless Propagation Letters 2024年第1期23卷 424-428页

作者： Rice, Allyanna Kiourti, Asimina Ohio State University ElectroScience Laboratory Department of Electrical and Computer Engineering ColumbusOH43214 United States

We present a sensor toward wearable monitoring of muscle atrophy with improved stretching capabilities and sensing resolution for practical implementation. The operation relies on our previously reported approach, where wrap-around transmit and receive loops at inductive frequencies monitor changes in muscle size via the magnitude and/or phase of the transmission coefficient. The novel aspects of this work entail: 1) a new fabrication approach with stretchable inductive loops made from Gallium Indium eutectic (EGaIn) injected into silicone tubing to improve stretchability, and 2) operation below the defined resonant frequency to improve magnitude resolution of the sensor. Simulation and in vitro measurement results are in excellent agreement. Compared to our previous sensor implementation, the proposed approach: 1) achieves 4.3 times higher stretchability, 2) measures 1.7 times larger muscle volume loss, and 3) improves magnitude resolution by 6 dB. Specifically, we achieve a magnitude and phase resolution of 1.25 dB and 3.8°, respectively, per centimeter of limb circumference, and 0.3 dB and 0.9° per a 1% volume reduction. We also demonstrate repeatable fabrication with a low standard error of 0.19 dB and 0.7°. Because of the improved stretching capabilities and resolution, we can now accurately measure the circumference at any location on the leg of any given member of the population with a single device. Concurrently, this work brings forward innovations in fabricating radio frequency electronics from liquid metals. © 2023 IEEE.

关键词： Muscle

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Harnessing Kernel Regression for Dynamic Stochastic State Estimation in Solar-Integrated Power Grids

Harnessing Kernel Regression for Dynamic Stochastic State Es...

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2024 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2024

作者： Ensaf, Mohammad Barati, Masoud University of Pittsburgh Swanson School of Engineering Department of Electrical and Computer Engineering and Industrial Engineering PA United States

ISBN: (纸本)9798350313604

The paper presents a Gaussian/kernel process regression method for real-time dynamic state estimation and forecasting of phase angle and angular speed in systems with a high penetration of solar generation units, operating under a sparse measurements regime on both sunny and cloudy days. The method treats unknown terms in the swing equations, such as solar power, as random processes, thereby transforming these equations into stochastic differential equations. The proposed method accurately forecasts and estimates both observed and unobserved operating states, delivering forecasts comparable to those of the standard data-driven Gaussian/kernel process for observed system states. Additionally, the method demonstrates improved accuracy with increased observation frequency and reduced measurement errors in the IEEE 14-bus test system. © 2024 IEEE.

关键词： Random processes

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Distributed field mapping for mobile sensor teams using a derivative‐free optimisation algorithm

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IET Cyber-Systems and Robotics 2024年第2期6卷 20-34页

作者： Tony X.Lin Jia Guo Said Al-Abri Fumin Zhang School of Electrical&Computer Engineering Georgia Institute of TechnologyAtlantaGeorgiaUSA College of Engineering Sultan Qaboos UniversityMuscatOman Department of Electronic&Computer Engineering Hong Kong University of Science and TechnologyHong KongChina

The authors propose a distributed field mapping algorithm that drives a team of robots to explore and learn an unknown scalar field using a Gaussian Process(GP).The authors’strategy arises by balancing exploration objectives between areas of high error and high *** computing high error regions is impossible since the scalar field is unknown,a bio-inspired approach known as Speeding-Up and Slowing-Down is leveraged to track the gradient of the GP *** approach achieves global field-learning convergence and is shown to be resistant to poor hyperparameter tuning of the *** approach is validated in simulations and experiments using 2D wheeled robots and 2D flying mini-ature autonomous blimps.

关键词： environment sensing multi-robot systems

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Boosting RPCA by Prior Subspace

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IEEE Transactions on Signal Processing 2025年 73卷 2170-2186页

作者： Chen, Lin Ge, Li Jiang, Xue Li, Hongbin Stevens Institute of Technology Department of Electrical and Computer Engineering HobokenNJ07030 United States Shanghai Jiao Tong University School of Electronic Information and Electrical Engineering Shanghai200240 China

This paper introduces a novel method, boosting principal component analysis (BPCA), to address the challenge of extracting principal components in the presence of sparse outliers. Building on the traditional robust principal component analysis (RPCA) model, BPCA incorporates prior subspace information through a flexible weighting scheme, enhancing its robustness against the bias in prior subspaces. We develop a novel metric, based on QR decomposition, to assess the accuracy of a prior subspace, which facilitates the analysis of BPCA’s exact recovery feasibility. The exact recovery is achievable if the bias of the prior subspace meets a specific tolerance condition. We establish its recovery guarantee by introducing new incoherence conditions, which offer improved interpretability over existing conditions due to the boosting of prior subspaces. BPCA enjoys a more relaxed recovery bound than RPCA and traditional prior subspace-based methods, provided that the prior subspace is sufficiently accurate, though not necessarily perfect. The necessary level of accuracy for this relaxation is quantified, with an analysis using the convex geometry of the nuclear norm. Furthermore, the proposed BPCA model is scalable and successfully extended to three-dimensional scenes. Experimental results demonstrate the superior performance of BPCA over RPCA and traditional prior subspace-based methods in low-rank recovery. © 1991-2012 IEEE.

关键词： Principal component analysis

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A Speech Enhancement Algorithm Combining Wavelet Transform and Adaptive Filters 6

A Speech Enhancement Algorithm Combining Wavelet Transform a...

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6th IEEE International Conference on Image Processing, Applications and Systems, IPAS 2025

作者： Shrestha, Aayam Ghorshi, Seyed Joorabchi, Marjan Panahi, Issa Firouzeh, Fereshteh Fakhar The University of Texas at Tyler Department of Electrical and Computer Engineering TX United States Sharif University of Technology School of Science and Engineering Iran The University of Texas at Dallas Department of Electrical and Computer Engineering TX United States

ISBN: (纸本)9798331506520

Noise as an unwanted interference can significantly degrade speech signals, especially those recorded by many microphones. This interference is modeled as additive noise that originates from a range of sources including White Gaussian Noise (WGN), babble, crowd, large city, and traffic noises. These disturbances can alter the characteristics of speech signals reducing both their quality and intelligibility. This paper introduces a novel approach designed to reduce noise and enhance the quality and intelligibility of speech signals. The proposed method combines Wavelet Transform with Adaptive Filters, specifically the Wiener filter and RLS filter. The evaluation process involves testing noisy speech signals under realistic conditions with different signal-to-noise ratios (SNRs) and different types of additive noise. The objective measure is used for evaluation, including the perceptual evaluation of speech quality (PESQ). Results show that combining Wiener or RLS filtering with Wavelet Transform significantly improves noise reduction, outperforming the use of Wavelet Transform alone. © 2025 IEEE.

关键词： Adaptive filtering

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Early Diagnosis of Osteoporosis: An Artificial Intelligence-Based Framework 7

Early Diagnosis of Osteoporosis: An Artificial Intelligence-...

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7th International Conference on Advances in Biomedical engineering, ICABME 2023

作者： Zaylaa, Amira J. Daher, Alaa Ayache, Mohammad Omeirat, Niveen Mahmoud, Razane Hawili, Bader Abou Beirut Arab University Biomedical Engineering Laboratory Biomedical Engineering Program Electrical and Computer Engineering Faculty of Engineering Lebanon

ISBN: (纸本)9798350325850

Osteoporosis is a common disease characterized by low bone density and structural deterioration of bone tissue. For a successful course of treatment and fracture avoidance, early diagnosis of this disease is essential. The aim was to provide a novel method for osteoporosis prediction using Artificial Intelligence (AI)-based framework. The purpose was to predict the likelihood of osteoporosis based on the Bone Mineral Density (BMD), along with other characteristics such as age, weight, height, gender, and Body Mass Index (BMI) extracted from medical reports and images collected from a comprehensive medical center in Lebanon. Three machine-learning algorithms were implemented and tested, Logistic Regression (LR), Support Vector Machines (SVM), and Decision Trees (DT). Variety of quantitative statistical metrics were used to evaluate the performance of our framework, upon training and testing our algorithms. The metrics that were employed to evaluate our results included accuracy, precision, sensitivity, and F-score, in addition to the Receiver Operating Characteristic (ROC) Curve and the Area Under the Curve (AUC). Experimental Results demonstrated that both the SVM and LR algorithms achieved the highest accuracy of detection of osteoporosis as compared to existing algorithms applied in this field, with an accuracy of 89%. The sensitivity of diagnosis obtained was 98% by LR and 97% by SVM and surpassed the sensitivity obtained by DT. As such LR showed the best performance. The output of the algorithms could help medical doctors assess patients automatically. These findings demonstrated the potential of AI in osteoporosis prediction and thus prevention, highlighting the significance of early diagnosis. Thereby as a future prospect, choosing carefully the framework is crucial and additional algorithms have to be considered and tested. © 2023 IEEE.

关键词： Decision trees

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Fabrication and characterization of magnesium-based nanocomposites reinforced with Baghdadite and carbon nanotubes for orthopaedical applications

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Journal of Magnesium and Alloys 2024年第12期12卷 5144-5163页

作者： Mojtaba Ansari Shiva Mahdavikia Hossein Eslami Mozhdeh Saghalaini Hamid Taghipour Fatemeh Zare Shahin Shirani Mohammad Hossein Alizadeh Roknabadi Department of Biomedical Engineering Meybod UniversityMeybodIran Department of Biomedical Engineering Amirkabir University of TechnologyTehranIran Center for Education and Research on Macromolecules(CERM) CESAM Research UnitDepartment of ChemistryUniversity of LiègeLiègeBelgium Department of Electrical and Computer Engineering Texas A&M UniversityCollege StationTXUSA Department of Aerospace Engineering Amirkabir University of TechnologyTehranIran

This study explores the potential of Mg/Carbon Nanotubes/Baghdadite composites as biomaterials for bone regeneration and repair while addressing the obstacles to their clinical *** powder was synthesized using the sol-gel method to ensure a fine distribution within the Mg/CNTs ***/1.5 wt.%CNT composites were reinforced with BAG at weight fractions of 0.5,1.0,and 1.5 wt.%using spark plasma sintering at 450℃and 50 MPa after homogenization via ball *** cellular bioactivity of these nanocomposites was evaluated using human osteoblast-like cells and adipose-derived mesenchymal stromal *** proliferation and attachment of MG-63cells were assessed and visualized using the methylthiazol tetrazolium(MTT)assay and SEM,while AD-MSC differentiation was measured using alkaline phosphatase activity *** were also generated to visualize the diameter distributions of particles in SEM images using image processing *** Mg/CNTs/0.5 wt.%BAG composite demonstrated optimal mechanical properties,with compressive strength,yield strength,and fracture strain of 259.75 MPa,180.25 MPa,and 31.65%,*** learning models,including CNN,LSTM,and GRU,were employed to predict stress-strain relationships across varying BAG amounts,aiming to accurately model these curves without requiring extensive physical *** shown by contact angle measurements,enhanced hydrophilicity promoted better cell adhesion and ***,corrosion resistance improved with a higher BAG *** study concludes that Mg/CNTs composites reinforced with BAG concentrations below 1.0 wt.%offer promising biodegradable implant materials for orthopedic applications,featuring adequate load-bearing capacity and improved corrosion resistance.

关键词： Biodegradable material Magnesium-based composite Carbon nanotube Baghdadite Spark plasma sintering

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Beamforming Design for Dynamic Metasurface Antennas-Based Massive Multiuser MISO Downlink Systems

IEEE Open Journal of the Communications Society

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IEEE Open Journal of the Communications Society 2024年 5卷 1387-1398页

作者： Chen, Jung-Chieh Hsu, Chiu-Hsiang National Cheng Kung University Department of Electrical Engineering Tainan701401 Taiwan Institute of Computer and Communication Engineering National Cheng Kung University Tainan701401 Taiwan

This study addresses a massive multiuser multiple-input single-output downlink system with a base station equipped with dynamic metasurface antennas (DMAs) serving single-antenna users. Our goal is to jointly optimize the transmit precoder and configurable DMA coefficients to maximize system performance. This task is challenging due to the complex interdependencies between these parameters. The established solution, AO-RMO, employs alternating optimization (AO) to iteratively optimize the transmit precoder using the weighted minimum mean squared error algorithm and Riemannian manifold optimization (RMO) for the DMA coefficients. While AO-RMO performs reasonably well, it exhibits high time and computational complexity due to RMO. To address this issue, we propose a computationally efficient alternative: a projected gradient descent (PGD)-based algorithm for determining the DMA coefficients. Additionally, for practical reconfiguration of DMA coefficients with discrete values, we introduce the cross-entropy optimization (CEO)-based algorithm. Simulation results demonstrate that when continuous DMA coefficients are used, our proposed AO-PGD algorithm achieves nearly comparable weighted sum rate performance to the AO-RMO algorithm but with significantly reduced computational complexity and running time. When discrete DMA coefficients are applied, the proposed AO-CEO algorithm surpasses other benchmark algorithms in various system configurations. © 2020 IEEE.

关键词： Computational complexity

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Joint SIC and SCMA for NOMA-Based Uplink Transmission in 5G Systems 27

Joint SIC and SCMA for NOMA-Based Uplink Transmission in 5G ...

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27th International Conference on Advanced Communications Technology, ICACT 2025

作者： Su, Szu-Lin Huang, Nan-Hsiung Chen, Chao-Lin Lai, Kuei-Chiang Institute of Computer and Communication Engineering Department of Electrical Engineering National Cheng Kung University Tainan Taiwan

ISBN: (纸本)9791188428137

With higher access capacity, non-orthogonal multiple access (NOMA) is a promising wireless access technology to meet the demands of massive machine-type communications (mMTC) and internet of things (IoT) applications. Focused on NOMAbased uplink multiple access transmission, this paper proposes data detection schemes that integrate sparse code multiple access (SCMA) and successive interference cancellation (SIC) techniques, termed the SCMA-SIC process. Simulation comparisons of various NOMA receiver designs, including hybrid-domain NOMA and iterative detection and decoding (IDD) for coded SCMA, show that the SCMA-SIC process achieves the best system performance. In addition, with power control strategies for uplink access, the SCMA-SIC process still performs the best. Copyright 2025 Global IT Research Institute (GIRI). All rights reserved.

关键词： Iterative decoding

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