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Research on a multi-dimensional image information fusion algorithm based on NSCT transform. [PDF]
Su Y +5 more
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Text cryptography and steganography based on RNA sequences generation, true random number generators, and codebook method. [PDF]
Hamad S, Rashid OF, Al-Dabbas HM.
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Artificial intelligence techniques for classification of Alzheimer's disease using neuroimaging data: a review. [PDF]
Nibila Y, Sivagami M.
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A non-subsampled Shearlet transform based approach for heartbeat sound watermarking
Biomedical Signal Processing and Control, 2022To secure the heartbeat sound exchanged in telemedicine, we propose in this work a blind watermarking approach combining a Non-Subsampled Shearlet Transform and Singular Value Decomposition.
Mohamed Redouane Kafi, Amine Khaldi
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Nonseparable Shearlet Transform
IEEE Transactions on Image Processing, 2013Over the past few years, various representation systems which sparsely approximate functions governed by anisotropic features, such as edges in images, have been proposed. Alongside the theoretical development of these systems, algorithmic realizations of the associated transforms are provided.
Wang-Q Lim
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Abstract Shearlet Transform [PDF]
Approximately ten years ago the generalization of wavelets to shearlets started its development. This paper extends shearlets (introduced in 2005 to find efficient extensions for the classical wavelet transform, see among others \textit{G. Kutyniok} and \textit{D. Labate} [``Construction of regular and irregular shearlet frames'', J.
R A Kamyabi Gol
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Journal of Pseudo-Differential Operators and Applications, 2022
Bochra Nefzi, Kamel Brahim
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Bochra Nefzi, Kamel Brahim
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A Reverberation Noise Suppression Method of Sonar Image Based on Shearlet Transform
IEEE Sensors Journal, 2023A sonar image affected by reverberation noise would generate serious speckle noise in the image, which causes great trouble for the later sonar image target segmentation and detection. Therefore, noise suppression is a crucial preprocessing technique for
Haoting Zhang +5 more
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Neural Networks, 2022
Multivariate time series forecasting remains a challenging task because of its nonlinear, non-stationary, high-dimensional, and spatial-temporal characteristics, along with the dependence between variables.
Lifan Long +4 more
semanticscholar +1 more source
Multivariate time series forecasting remains a challenging task because of its nonlinear, non-stationary, high-dimensional, and spatial-temporal characteristics, along with the dependence between variables.
Lifan Long +4 more
semanticscholar +1 more source
IEEE Geoscience and Remote Sensing Letters, 2023
The registration of synthetic aperture radar (SAR) and optical images is still a challenging task due to the influence of the potential nonlinear intensity differences and severe speckle noise.
Xiaoru Zhao +4 more
semanticscholar +1 more source
The registration of synthetic aperture radar (SAR) and optical images is still a challenging task due to the influence of the potential nonlinear intensity differences and severe speckle noise.
Xiaoru Zhao +4 more
semanticscholar +1 more source

