Results 151 to 160 of about 5,473 (223)
Towards reliable object representation via sparse directional patches and spatial center cues. [PDF]
Fundam ResJian M, Yu H.
europepmc +1 more source
A Self-Adaptive Strip Pooling Network for Segmenting the Kidney Glomerular Basement Membrane. [PDF]
Sensors (Basel)Song C, Huang X, Lyu X.
europepmc +1 more source
Optical and SAR image registration based on feature constrained algorithm. [PDF]
Sci RepZhang W.
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
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
exaly +2 more sources
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
exaly +3 more sources
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
semanticscholar +1 more source
Different Faces of the Shearlet Group [PDF]
Journal of Geometric Analysis, 2015 Recently, shearlet groups have received much attention in connection with shearlet transforms applied for orientation sensitive image analysis and restoration. The square integrable representations of the shearlet groups provide not only the basis for the shearlet transforms but also for a very natural definition of scales of smoothness spaces, called ...
Stephan Dahlke +2 more
exaly +5 more sources
Abstract Shearlet Transform [PDF]
Bulletin of the Belgian Mathematical Society - Simon Stevin, 2015 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.
Kamyabi-Gol, R.A., Atayi, V.
exaly +4 more sources
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