Results 171 to 180 of about 5,473 (223)

Clifford Valued Shearlet Transform

Advances in Applied Clifford Algebras, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sharma, Jyoti, Singh, Shivam Kumar
openaire   +2 more sources

CT image denoising using multivariate model and its method noise thresholding in non-subsampled shearlet domain

Biomedical Signal Processing and Control, 2020
In today era, computed tomography (CT) is one of the exceptionally proficient crucial devices in medical science for the clinical reason. The consistent improvement and broad utilization of computed tomography in medical science has uplifted the ...
Manoj Diwakar, Prabhishek Singh
semanticscholar   +1 more source

SHEARLET TRANSFORMS AND DIRECTIONAL REGULARITIES

International Journal of Wavelets, Multiresolution and Information Processing, 2010
In an effort to characterize uniform and pointwise Hölder regularities, we obtain necessary decay rates and sufficient decay rates of continuous and discrete shearlet transform across scales. They are the same rates as those of the Hart Smith and continuous curvelet transforms.
P. Lakhonchai, Jouni Sampo, Songkiat Sumetkijakan   +2 more
openaire   +2 more sources

Infrared and Visible Image Fusion via Sparse Representation and Adaptive Dual-Channel PCNN Model Based on Co-Occurrence Analysis Shearlet Transform

IEEE Transactions on Instrumentation and Measurement
The principle of image fusion is to integrate complementary information of the heterogeneous images to obtain a fused image that is more in line with the visual effect of the human eyes. However, most decomposition methods cannot distinguish the textures
Biao Qi, Qiang Li, Yu Zhang, Qinglei Zhao, Bingxiang Qiao, Junxia Shi, Zengming Lv, Guoning Li   +7 more
semanticscholar   +1 more source

Medical Image Fusion Method Based on Coupled Neural P Systems in Nonsubsampled Shearlet Transform Domain

International Journal of Neural Systems, 2020
Coupled neural P (CNP) systems are a recently developed Turing-universal, distributed and parallel computing model, combining the spiking and coupled mechanisms of neurons.
Bo Li, Hong Peng, Xiaohui Luo, Jun Wang, Xiaoxiao Song, M. Pérez-Jiménez, A. Riscos-Núñez   +6 more
semanticscholar   +1 more source

The shearlet transform and asymptotic behavior of Lizorkin distributions

Applicable Analysis
In this paper, we establish Abelian and Tauberian results that characterize the quasiasymptotic behavior of Lizorkin distributions via the asymptotic behavior of their shearlet transform.
Astrit Ferizi, K. Saneva
semanticscholar   +1 more source

Regularized Full-Waveform Inversion With Shearlet Transform and Total Generalized Variation

IEEE Transactions on Geoscience and Remote Sensing
Full-waveform inversion (FWI) is a powerful method of reconstructing subsurface properties during seismic exploration. However, it is difficult for FWI to accurately describe a subsurface model with sharp surfaces and smooth variations because of the ...
Hanyang Wang, Siwei Yu
semanticscholar   +1 more source

Deep Shearlet Residual Learning Network for Single Image Super-Resolution

IEEE Transactions on Image Processing, 2021
Recently, the residual learning strategy has been integrated into the convolutional neural network (CNN) for single image super-resolution (SISR), where the CNN is trained to estimate the residual images.
Tianyu Geng, Xiao-Yang Liu, Xiaodong Wang, Guiling Sun   +3 more
semanticscholar   +1 more source

Shearlet-based Loop Filter

2018 26th European Signal Processing Conference (EUSIPCO), 2018
In video coding, in-loop filtering has attracted attention due to its increasing coding performances. In this paper the shearlet-based loop filter is proposed using a sparsifying transform, the shearlet transform, which can identify the important structures of natural images such as edges in the sparse transform domain.
Johannes Erfurt, Wang-Q Lim, Heiko Schwarz, Detlev Marpe, Thomas Wiegand 0001   +4 more
openaire   +1 more source

Adaptive Nonsubsampled Shearlet Transform and Its Application to Surface Wave Suppression

IEEE Transactions on Geoscience and Remote Sensing
This article proposes a new surface wave suppression method based on nonsubsampled Shearlet transform (NSST). First, we use a frequency wavenumber (FK) Filter to extract surface wave noise from seismic data. We then apply a Shearlet transform to both the
Shiqi Lv, Xiangbo Gong, Bin Hu, Zhuo Xu, Junming Zhang, Qiao Cheng   +5 more
semanticscholar   +1 more source