Remote Sensing Image Fusion using Multithreshold Otsu Method in Shearlet Domain
In remote sensing image fusion, preservation of spectral information and enhancement of spatial resolution are key issues. In this paper, a novel approach of remote sensing satellite image fusion method have been proposed based on Otsu's Multi ...
Biswas, Biswajit +2 more
core +1 more source
SAR image denoising using homomorphic and shearlet transforms
: Recently, denoising of Synthetic Aperture Radar (SAR) images has gained particular attention. SAR image is usually affected by speckle noise. In this paper a new method for speckle noise reduction of SAR images using shearlet transform (ST) is ...
Rezaei, Hossein, Karami Robati, Azam
core
Multimodal medical image fusion in NSST domain with structural and spectral features enhancement. [PDF]
Khan SU +5 more
europepmc +1 more source
Analysis of Singularities and Edge Detection using the Shearlet Transform
The continuous curvelet and shearlet transforms have recently been shown to be much more effective than the traditional wavelet transform in dealing with the set of discontinuities of functions and distributions.
Kanghui Guo +2 more
core
Brain Tumor Segmentation Based on Bendlet Transform and Improved Chan-Vese Model. [PDF]
Meng K, Cattani P, Villecco F.
europepmc +1 more source
Multi-focus Image Fusion by SML in the Shearlet Subbands
It is now widely acknowledged that traditional wavelets are not very effective in dealing with multidimensional signals containing distributed discontinuities. Shearlet Transform is a new discrete multiscale directional representation, which combines the
Jianhua, Liu, Yang, Jianguo, Li, Beizhi
core
Sparse representation and image classification with the shearlet transform
Classical 2D-wavelet transforms have suboptimal compression performance due to its inability to generate sparse representation of discontinuities along lines. This thesis contains investigations of the shearlet transform which in contrast to classical 2D-
Andersson, Robin
core
Defect Detection in Magnetic Tile Images Based on Non-subsampled Shearlet Transform
:A novel surface defect detection method based on non-subsampled shearlet transform (NSST) was proposed for detecting defects with random noise,low contrast,uneven background and regularly distributed grinding texture in magnetic tile surface images.The ...
YANG Chengli +4 more
doaj
A new convolutional neural network based on combination of circlets and wavelets for macular OCT classification. [PDF]
Arian R +4 more
europepmc +1 more source
Product-of-Gaussian-mixture diffusion models for joint nonlinear MRI reconstruction. [PDF]
Nagler L, Zach M, Pock T.
europepmc +1 more source

