Innovative adaptive edge detection for noisy images using wavelet and Gaussian method by Huanxu Li, Keke Xu

Subjects: Get full text

Comparison of noise estimation methods used in denoising 99mTc-sestamibi parathyroid images using wavelet transform by Anil Pandey, Param Sharma, Akshima Sharma, Chandra Bal, Rakesh Kumar

“…The objective of this study was to compare the performance of variance, median absolute deviation, and the square of median absolute deviation methods of noise estimation in denoising of 99mTc-sestamibi parathyroid images using wavelet transform. …”
Get full text

A Wavelet-Based Analysis for Monitoring Controller Reliability in Active Magnetic Bearing With Rotor Eccentricities by Debarghya Dutta, Pabitra Kumar Biswas, Sukanta Debnath, Furkan Ahmad

“…The reliability of the assessment method is highlighted by the low 1.15% variance across the original and recovered force signals at high rotor eccentricity, which is supported by suitable scalability and wavelet selection based on Fisher’s criterion. …”
Get full text

WaViT-CDC: Wavelet Vision Transformer With Central Difference Convolutions for Spatial-Frequency Deepfake Detection by Nour Eldin Alaa Badr, Jean-Christophe Nebel, Darrel Greenhill, Xing Liang

“…Unlike previous methods, this approach applies the Discrete Wavelet Transform for multi-level frequency decomposition and Central Difference Convolution to capture local fine-grained discrepancies and focus on texture variances, while also incorporating Vision Transformers for global contextual understanding. …”
Get full text

Improved empirical wavelet transform combined with particle swarm optimization-support vector machine for EEG-based depression recognition by Yongxin Wang, Longqi Xu, Hongxu Qian, Haijun Lin, Xuhui Zhang

“…In this paper, we propose an improved method for the early objective diagnosis of depression utilizing an empirical wavelet transform (EWT) technique enhanced by a particle swarm optimization-support vector machine (PSO-SVM) algorithm. …”
Get full text

Denoising of acoustic emission signals from rock failure processes through ICEEMDAN combined with multiple criteria and wavelet transform by Tao Wang, Weiwei Ye, Liyuan Liu, Zhihui Zhao, Wei Huang

Get full text

Research on the application of improved MCMC algorithm in the measurement of high-dimensional financial data by Naijia Liu, Yuchao Su

“…A parallelized Markov chain Monte Carlo algorithm based on wavelet transform is developed to effectively reduce the difficulty of multivariate stochastic fluctuation modeling and Bayesian inference by decomposing the original data with high frequency and filtering noise reduction based on the wavelet theory; secondly, an adaptive process and a multi-chain parallel sampling method are introduced to adjust the sample generating mechanism of the multivariate stochastic fluctuation model. …”
Get full text

Robust Beamforming for Ultrasonic Imaging using Wavelet-based Thresholding and Coherence Weighting by Mozhgan Ehsani, Mehdi Bekrani, Solyman Garousi

“…In the proposed method, a wavelet transform with a novel threshold function is applied to the received signals to initially reduce the noise, followed by the application of the beamformer. …”
Get full text

Cerebrovascular pressure reactivity monitoring using wavelet analysis in traumatic brain injury patients: A retrospective study. by Xiuyun Liu, Joseph Donnelly, Marek Czosnyka, Marcel J H Aries, Ken Brady, Danilo Cardim, Chiara Robba, Manuel Cabeleira, Dong-Joo Kim, Christina Haubrich, Peter J Hutchinson, Peter Smielewski

“…<h4>Methods and findings</h4>Five hundred and fifteen patients with TBI admitted in Addenbrooke's Hospital, United Kingdom (March 23rd, 2003 through December 9th, 2014), with continuous monitoring of arterial blood pressure (ABP) and intracranial pressure (ICP), were retrospectively analyzed to calculate the traditional PRx and a novel wavelet transform-based wPRx. wPRx was calculated by taking the cosine of the wavelet transform phase-shift between ABP and ICP. …”
Get full text

Enhancing PM_2.5 Air Pollution Prediction Performance by Optimizing the Echo State Network (ESN) Deep Learning Model Using New Metaheuristic Algorithms by Iman Zandi, Ali Jafari, Aynaz Lotfata

“…Boruta-XGBoost highlighted PM₁₀ as the most important feature. Wavelet transform was then applied to extract 40 features to enhance prediction accuracy. …”
Get full text

Chaotic billiards optimized hybrid transformer and XGBoost model for robust and sustainable time series forecasting by Reham H. Mohammed, Asmaa Mohamed El-saieed

“…To address these issues, this research proposes a hybrid approach that combines Wavelet Transform (WT) decomposition, an Encoder-Decoder Transformer, and XGBoost in an ensemble setup. …”
Get full text

Enhancing image security via chaotic maps, Fibonacci, Tribonacci transformations, and DWT diffusion: a robust data encryption approach by Mohammad Mazyad Hazzazi, Mujeeb Ur Rehman, Arslan Shafique, Amer Aljaedi, Zaid Bassfar, Aminu Bello Usman

“…After that, the discrete wavelet transform (DWT) is employed to develop secondary keys. …”
Get full text

Life Prediction Method of Remanufactured Machinery Equipment Based on Vibration Signal Feature Extraction by Bin Li, Le Kui, Jingdong Luo, Shiyong Chen

“…Using amplitude spectrum analysis, Hilbert envelope demodulation and wavelet packet decomposition method, and other vibration signal processing methods, preliminary extraction of multiple statistical feature parameters are given. …”
Get full text

Application of DTCWT Decomposition and Partial Differential Equation Denoising Methods in Remote Sensing Image Big Data Denoising and Reconstruction by Wei Zeng

“…To solve this problem, this research proposes an improved remote sensing image processing model, in which the dual tree complex wavelet transform (DTCWT) method is used to conduct multiscale decomposition of the impact, and the fourth-order differential equation is used to denoise the decomposed complex high-frequency subband information, and then the denoised subbands are reconstructed into the denoised image. …”
Get full text

High-throughput method for improving rice AGB estimation based on UAV multi-source remote sensing image feature fusion and ensemble learning by Jinpeng Li, Jinpeng Li, Jinxuan Li, Jinxuan Li, Dongxue Zhao, Dongxue Zhao, Qiang Cao, Qiang Cao, Fenghua Yu, Fenghua Yu, Fenghua Yu, Yingli Cao, Yingli Cao, Yingli Cao, Shuai Feng, Shuai Feng, Shuai Feng, Tongyu Xu, Tongyu Xu, Tongyu Xu

“…Therefore, this study utilizes UAV-acquired RGB and multi-spectral (MS) images during several critical rice stages to explore the potential of multi-source data fusion for accurately and cost-effectively estimating rice AGB.MethodsHigh-frequency texture features were extracted from RGB images using discrete wavelet transform (DWT), while low-order color moments in RGB and Lab color spaces were calculated. …”
Get full text

Air Pollution Variation During COVID-19 Pandemic Using Satellite and On-site Measurement Data in Six Provinces in Iran by Maryam Zare Shahne, Amirhossein Noori, Mehdi Alizade Attar

Get full text

Multi-resolution analysis of gravity anomalies: A comparative study of modern and spherical approximation techniques by Kolawole S. ILESANMI, Herbert TATA, Ifechukwu U. NZELIBE, Timothy O. IDOWU

“…The satellite-acquired modern and spherical approximated gravity anomalies over a study area were separated into regional and residual gravity anomaly components using a 2D Discrete Wavelet Transform. The quantity, depth, shape, and density of deposited mineral were computed from their respective residual gravity anomalies using the 2D Continuous Wavelet Transform and Modulus Maxima of the wavelet transform coefficients. …”
Get full text

Research on Fast Compensation Algorithm for Interframe Motion of Multimedia Video Based on Manhattan Distance by Ning Li, Shuai Wan

“…The absolute median difference based on wavelet transform is used to estimate the multimedia video noise. …”
Get full text

Dimensionality Reduction using Hybrid Algorithms and Their Application to Remote Sensing Data by Maha Hasso, Mona Siddiq

“…A new algorithm was constructed depending on the previous three algorithms which applies the wavelet transform on multispectral images and finding the signal to noise ratio depending on variance of each band And arranging it decendingly and then choosing the bands that have highest datas in order to select the best bands and apply the principle component analysis on it. …”
Get full text

A Saliency Detection Model via Fusing Extracted Low-level and High-level Features from an Image by Sekine Asadi Amiri, Hamid Hassanpour

“…In this approach, color saliency maps are extracted from each channel in Lab color space; and texture saliency maps are extracted using wavelet transform and local variance of each channel. …”
Get full text