Results 101 to 110 of about 4,538 (213)
Constructing Multiwavelet-based Shearlets and using Them for Automatic Segmentation of Noisy Brain Images Affected by COVID-19. [PDF]
Aghazadeh N, Moradi P, Noras P.
europepmc +1 more source
Embeddings of Decomposition Spaces into Sobolev and BV Spaces
In the present paper, we investigate whether an embedding of a decomposition space $\mathcal{D}\left(\mathcal{Q},L^{p},Y\right)$ into a given Sobolev space $W^{k,q}(\mathbb{R}^{d})$ exists.
Voigtlaender, Felix
core
A Multiresolution Image Completion Algorithm for Compressing Digital Color Images
This paper introduces a new framework for image coding that uses image inpainting method. In the proposed algorithm, the input image is subjected to image analysis to remove some of the portions purposefully.
R. Gomathi, A. Vincent Antony Kumar
doaj +1 more source
Visual sensor image enhancement based on non-sub-sampled shearlet transform and phase stretch transform [PDF]
Ying Tong
openalex +1 more source
Skin Lesion Classification System Using Shearlets [PDF]
S. Mohan Kumar, T. Kumanan‬
openalex +1 more source
To solve the problems of noise coverage defect and low contrast between the defect and the background of ZrO2 ceramic bearing balls, a surface defect extraction algorithm based on shearlet transform image enhancement for ZrO2 ceramic bearing balls is ...
Dahai Liao +5 more
doaj +1 more source
A Novel Multi-Focus Image Fusion Method Based on Dual-Tree Shearlet Transform
In this paper, a multi-focus image fusion method based on Dual-Tree Compactly Supported Shearlet Transform (DT CSST) and Direction Decision Map (DDM) is proposed.
Chang Duan, Shuai Wang, Qihong Huang
doaj +1 more source
TDFusion: When Tensor Decomposition Meets Medical Image Fusion in the Nonsubsampled Shearlet Transform Domain. [PDF]
Zhang R, Wang Z, Sun H, Deng L, Zhu H.
europepmc +1 more source
Suppressing seismic random noise based on non-subsampled shearlet transform and improved FFDNet
Traditional denoising methods often lose details or edges, such as Gaussian filtering. Shearlet transform is a multi-scale geometric analysis tool which has the advantages of multi-resolution and multi-directivity.
Hua Fan, Yang Zhang, Wenxu Wang, Tao Li
doaj +1 more source

