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Wavelet-packets for deepfake image analysis and detection
As neural networks become able to generate realistic artificial images, they have the potential to improve movies, music, video games and make the...
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Intelligent Fuzzy Approach Based High-Performance Steganography in Wavelet Domain
AbstractThis paper proposes a high-performance steganographic technique in wavelet domain. This algorithm firstly encrypts the information to be...
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A novel approach of decoding four-class motor imagery tasks via wavelet transform and 1DCNN-BiLSTM
Electroencephalogram (EEG)-based human-computer interaction (HCI) has become a major research direction in the field of brain-computer interface...
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Convolutional neural network-based image watermarking using discrete wavelet transform
With the growing popularity of the Internet, digital images are used and transferred more frequently. Although this phenomenon facilitates easy...
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Keystroke Transcription from Acoustic Emanations Using Continuous Wavelet Transform
Acoustic propagation is a notable pathway, enabling information input via a keyboard to potentially leak. This type of attack, which leverages the...
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Frequency Domain Feature Learning with Wavelet Transform for Image Translation
Image-to-image translation serves as an essential field of research in computer vision. Existing models frequently cause accidental distortion over...
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ECG compression based on empirical mode decomposition and tunable-Q wavelet transform with validation using heartbeat classification
In telemedicine-based healthcare system, such as cardiac health monitoring system, large amount of data needs to be stored and transferred. This...
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ROI and Non-ROI Image Compression Using Optimal Zero Tree Wavelet and Enhanced Convolutional Neural Network for MRI Images
Medical imaging systems generate enormous amounts of information that place a heavy burden on storage and transmission. As a result, image data...
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Parallel and streaming wavelet neural networks for classification and regression under apache spark
Wavelet neural networks (WNN) have been applied in many fields to solve regression as well as classification problems. After the advent of big data,...
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A deep learning image inpainting method based on stationary wavelet transform
The development of deep learning has greatly improved the image inpainting performance in the past decades. In fact, image inpainting for different...
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A novel adaptive artifacts wavelet Denoising for EEG artifacts removal using deep learning with Meta-heuristic approach
Electroencephalogram (EEG) is said to be a common tool to control neurological disorders, performed medical diagnoses, and cognitive research. But,...
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A wavelet enhanced approach with ensemble based deep learning approach to detect air pollution
Air pollution is one of the most serious environmental problems worldwide. Especially, PM2.5 cannot be blocked by filtration system of respiratory...
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Integer wavelet transform based high performance secure steganography scheme QVD-LSB
An integer wavelet transform (IWT) based image steganography technique is proposed to prevail the embedding capacity constraints in this domain....
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W-VDSR: wavelet-based secure image transmission using machine learning VDSR neural network
Digital communication often uses non-verbal ways to transmit important information. Such as; images, symbols, and different textures. At the time of...
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A brain magnetic resonance image compression technique using wavelet-based SPIHT algorithm and capsule autoencoder
Medical imaging plays a starring role in diagnosis and treatment. It provides clinically meaningful information and thus reduces uncertainty in...
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Numerical computation of ocean HABs image enhancement based on empirical mode decomposition and wavelet fusion
Most of the microscopic images of Harmful Algae Blooms (HABs) acquired in marine engineering are subject to blurred cell textures and poor overall...
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Real-time image encryption algorithm based on combined chaotic map and optimized lifting wavelet transform
With the development of multimedia technology, the security of image information becomes more and more important. Encryption is a way to protect...
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Self-distillation Enhanced Vertical Wavelet Spatial Attention for Person Re-identification
Person re-identification is a challenging problem in computer vision, aiming to accurately match and recognize the same individual across different...
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A Voting Approach for Heart Sounds Classification Using Discrete Wavelet Transform and CNN Architecture
Cardiovascular diseases (CVDs) are a group of diseases that affect the heart or blood vessels and are the leading cause of mortality around the...
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Unmistakable information embedding into the integer wavelet transform domain of an image using an XOR function and a genetic algorithm
Although wavelet-based steganography techniques are widely used due to their advantages, complete embedding data extraction remains one of the most...
