Search
Search Results
-
ECG Denoising Based on Total Variation Denoising and Wavelets
This book details a number of electrocardiogram (ECG) denoising techniques based on total variation denoising and different wavelet transforms. The...
-
A New Method for Denoising Underwater Acoustic Signals Based on EEMD, Correlation Coefficient, Permutation Entropy, and Wavelet Threshold Denoising
The complexities of the marine environment and the unique characteristics of underwater channels pose challenges in obtaining reliable signals...
-
An Extension Application of 1D Wavelet Denoising Method for Image Denoising
Signals are of a one-dimensional mathematical model or 1D model although n-dimensional signals exist. A wavelet is a wave-oscillation structure with...
-
Portfolio allocation with CEEMDAN denoising algorithm
Effective denoising strategies are increasingly important for portfolio investors. Considering that the common ensemble empirical mode decomposition...
-
Multi-task learning with self-learning weight for image denoising
BackgroundImage denoising technology removes noise from the corrupted image by utilizing different features between image and noise. Convolutional...
-
HFAN: High-Frequency Attention Network for hyperspectral image denoising
During the last decades, learning-based deep neural network (DNN) has shown its advantages on hyperspectral image (HSI) denoising. Compared to...
-
An Experimental Study on MRI Denoising with Existing Image Denoising Methods
In this paper, we perform a systematical study on existing 2D denoising methods for reducing the noise in magnetic resonance imaging (MRI). We...
-
Evaluating FPGA-based denoising techniques for improved signal quality in electrocardiograms
The alarming mortality rates associated with cardiac abnormalities emphasize the critical need for early and accurate detection of heart disorders to...
-
Deep Speech Denoising with Minimal Dependence on Clean Speech Data
Most of the existing deep learning-based speech denoising methods rely heavily on clean speech data. According to the traditional view, a large...
-
Simultaneous denoising and super resolution of document images
In this paper, we propose a unified approach for denoising and super-resolution of document images. The approach is a one shot unpaired technique...
-
Efficient dual domain image denoising via SURE-based optimization
Dual domain image denoising (DDID) is an effective denoising method by utilizing bilateral filter (BF) and frequency-based filtering method....
-
Cartoon-Texture Features Guided Network for Low-Dose CT Denoising
Decomposing an image into meaningful components is an effective way for image processing. Making full use of cartoon features and texture features...
-
Weak signal extraction enabled by deep neural network denoising of diffraction data
The removal or cancellation of noise has wide-spread applications in imaging and acoustics. In applications in everyday life, such as image...
-
Wavelet-based 3D Data Cube Denoising Using Three Scales of Dependency
In this paper, we propose a novel method for 3D data cube denoising, where the 3D data cube is corrupted by noise with spatially varying noise...
-
Adaptive augmented cubature Kalman filter/smoother for ECG denoising
Model-based Bayesian approaches have been widely applied in Electrocardiogram (ECG) signal processing, where their performances heavily rely on the...
-
DTMF: Decision-based Trimmed Multimode approach Filter for denoising MRI images
Salt and pepper noise is the most dangerous noise which reduces the accuracy of brain diagnosis, and it damages the brain medical MRI images...
-
Denoising transthoracic echocardiographic images in regional wall motion abnormality using deep learning techniques
Image analysis and classification perform well in pre-processed noise-free images than in corrupted images. Synthetic aperture radar (SAR) images,...
-
Denoising Method for Microseismic Signals with Convolutional Neural Network Based on Transfer Learning
Microseismic signals contain various information for oil and gas develo**. Increasing the signal-to-noise ratio of microseismic signals can...
-
Low-Dose CT Denoising Algorithm Based on Image Cartoon Texture Decomposition
Low-dose computed tomography (LDCT) technology has attracted more and more attention in the field of medical imaging because of the reduction of...
-
An adaptive network model-based weighted similarity measure for CT image denoising
The constant development and the wider usage of computed tomography (CT) has gained the attention of researchers during medical practice related to...
