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Efficient human face recognition in real-life applications using the discrete wavelet transformation (HFRDWT)
Human Face receives major attention and acquires most of the efforts of the research and studies of Machine Learning in detection and recognition. In...
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Morlet wavelet transformation based deep similarity structured neural learning for image quality assessment
Quality assessment is a key problem to be resolved in image processing. Few research works have been designed to analyze the quality of images using...
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Improvement of automatic speech recognition systems utilizing 2D adaptive wavelet transformation applied to recurrence plot of speech trajectories
Spectral-based features, typically used in ASR systems, do not capture the phase information of speech signals. Thus, exploiting new features that do...
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Picture quality and compression analysis of multilevel legendre wavelet transformation based image compression technique
A novel lossy RGB (Red, Green, Blue) colour still image compression algorithm is proposed. The intended method introduces Legendre wavelet-based...
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A novel approach towards high-performance image compression using multilevel wavelet transformation for heterogeneous datasets
Multimedia information typically requires large storage capacity and transmission rate. Thus, multimedia data, which exist in various forms, such as...
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Image super resolution boosting using beta wavelet
Image super resolution (SR) is a critical category within the field of image processing techniques that aims to improve the resolution of both images...
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Wavelet scattering and scalogram visualization based human brain decoding using empirical wavelet transform
A prediction model to decode the human brain activities from brain signals is proposed in this work. The existing works available in the Neuroscience...
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Robust Automatic Speech Recognition Using Wavelet-Based Adaptive Wavelet Thresholding: A Review
Automatic speech recognition (ASR) is one of the most fascinating fields of research and the performance of ASR systems is most promising in a closed...
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Lifting wavelet transform-based photometric visual servoing
Photometric visual servoing is considered more precise and more robust than methods that use extracted geometric features, considering that...
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Optimization of Artificial Neural Networks using Wavelet Transforms
AbstractThe article presents the artificial neural networks performance optimization using wavelet transform. The existing approaches of wavelet...
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Real time fault detection in railway tracks using Fast Fourier Transformation and Discrete Wavelet Transformation
Railway transportation system is a safety critical system, a small fault in a train, track or train operation control system may cause serious...
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A two-stage network with wavelet transformation for single-image deraining
Image deraining is still a vital and challenging low-level computer vision task, the purpose of which is to restore rain-free images from images...
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Robust hybrid watermarking approach for 3D multiresolution meshes based on spherical harmonics and wavelet transform
Since the 3D mesh security problems imposed themselves, attempts to design watermarking algorithms targeting this data type have continued to grow up...
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Image denoising method based on improved wavelet threshold algorithm
In order to achieve image denoising in high-noise environment, this paper proposes an image denoising algorithm based on improved wavelet...
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Three-dimensional quantum wavelet transforms
Wavelet transform is being widely used in the field of information processing. One-dimension and two-dimension quantum wavelet transforms have been...
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Fusion of deep and wavelet feature representation for improved melanoma classification
Melanoma is an acute and chronic skin disease, and if left untreated, it increases morbidity in the patient. The high degree of similarity between...
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Binary Wavelet Transform-Based Financial Text Image Authentication Algorithm
AbstractThis paper presents a novel financial text image security authentication algorithm based on binary wavelet transform. Initially, the...
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Wavelet transform-assisted generative model for efficient 3d deep shape generation
Unsupervised deep learning has been widely employed to generate high-quality samples. While its potential for point clouds generation tasks has...
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Automatic ECG classification using discrete wavelet transform and one-dimensional convolutional neural network
This paper presents an approach based on deep learning for accurate Electrocardiogram signal classification. The electrocardiogram is a significant...
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Deep Bharatanatyam pose recognition: a wavelet multi head progressive attention
Human pose identification from 2D video sequences is extremely challenging under the influence of recording artifacts such as lighting, sensor...
