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Noise cancellation of polycystic ovarian syndrome ultrasound images using robust two-dimensional fractional fourier transform filter and VGG-16 model
The occurrence of Polycystic Ovarian Syndrome (PCOS) among women of reproductive age is increasing worldwide. PCOS is recognized as a critical health...
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Brain MRI Noise Reduction Using Convolutional Autoencoder
The Magnetic resonance imaging (MRI) machine will add random artifacts like intensity inhomogeneity, Gaussian noise, and Rician noise, while the...
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VMD-based ECG signal watermarking using image fusion: a robust and versatile approach for secure telemedical services
Presently, telemedical services in different forms are being exploited for the distribution of medical amenities. Security necessities including...
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Poisson noise and Gaussian noise separation through copula theory
This study explores an innovative optimization problem in copula denoising, aiming to distinguish and eliminate both Poisson noise and Gaussian...
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Peak Spectrogram and Convolutional Neural Network-Based Segmentation and Classification for Phonocardiogram Signals
Heart diseases are one of the contributing reasons for the human loss in the world. The Phonocardiogram (PCG) provides information for the exact and...
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Linear cellular automata-based impulse noise identification and filtration of degraded images
In this paper, four impulse noise filters based on modifications of linear cellular automata (LCA) are proposed and evaluated. Each of these filters...
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A novel DOA estimation method for distributed sources in impulsive noise environments
Direction of arrival (DOA) estimation has a wide range of applications in military and civilian fields. However, most methods are based on Gaussian...
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A modified form of different applied median filter for removal of salt & pepper noise
An algorithm is presented for removal of Salt & pepper noise. Proposed algorithm uses two phased approach where noise is first detected and then...
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Two efficient three-term conjugate gradient methods for impulse noise removal from medical images
In this paper, we discuss two efficient three-term conjugate gradient methods ( ECG ) for impulse noise removal. The directions of ECG are first the...
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On Trainable Multiplicative Noise Removal Models
In most of the real world imaging applications like synthetic aperture radar (SAR), microscope and laser images, multiplicative noise is more...
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Adaptive neuro fuzzy estimation of the most influential speckle noise distributions in color images for denoising performance prediction
This research paper analyzes the speckle noise distributions in images for denoising performance prediction through the prism of spatial domain. The...
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Rolling bearing fault diagnosis in strong noise background based on vibration signals
To solve the problem of difficulty in fault feature extraction for rolling bearings under strong noise conditions, a K -value calculation method of...
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Detection of High Noise Levels in Electrocardiograms
Wearable electrocardiogram sensor technology trends show increased use by patients in their homes and offices. However, numerous issues arise with...
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Heterogeneous Signal Identification
In this chapter, we will present the motivation of signal identification for cross-technology coexistence, then elaborate our system design which...
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Hybrid Noise Reduction Filter Using the Gaining–Sharing Knowledge-Based Optimization and the Whale Optimization Algorithms
Noise reduction is one of the main challenges for researchers. Classical image de-noising methods reduce the image noise but sometimes lose image...
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Noise-Immune Marking of Digital Audio Signals in Audio Stegosystems with Multiple Inputs and Multiple Outputs
AbstractMethods for the noise-immune combined marking of digital audio signals with the peculiarities of building audio stegosystems using channels...
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Signal design for MIMO dual-function systems with permutation learning
This paper addresses the signal matrix synthesis in the multi-input-multi-output (MIMO) dual-function system aimed at obtaining the desired radar...
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Direct sequence spread spectrum (DSSS) signal detection based on eigenvalues local binary pattern residual network (EL-ResNet)
Direct sequence spread spectrum (DSSS) communications are highly significant in military and civilian wireless communications because of its ability...
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A systematic review of state-of-the-art noise removal techniques in digital images
Digital Image processing is a subcategory of digital signal processing that lays emphasis on the study of processing techniques used for enhancement...
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Differential Evolution Constrained Optimization for Peak Reduction
Peak-to-average power ratio (PAPR) reduction is a major practical problem in Orthogonal Frequency Division Multiplexing (OFDM) systems. Many...