Results 41 to 50 of about 3,242 (211)

Otherness feature extraction method for underground image based on Shearlet transform

Gong-kuang zidonghua, 2016
For the problem that face images collected underground are susceptible to dust interference and most feature extraction methods are sensitive to noise, an otherness feature extraction method for underground image based on Shearlet transform was proposed.
HUANG Yu, ZHANG Yingjun, PAN Lihu
doaj   +1 more source

An unsupervised multi‐focus image fusion method based on Transformer and U‐Net

IET Image Processing, Volume 17, Issue 3, Page 733-746, 28 February 2023., 2023
Abstract This work presents a multi‐focus image fusion method based on Transformer and U‐Net with an unsupervised training fashion. In this work, the authors introduce Transformer into image fusion because it has great ability to capture the global dependencies and low‐frequency features. In image processing, convolutional neural network (CNN) has good
Xin Jin, Xiuliang Xi, Ding Zhou, Xiaoxuan Ren, Jie Yang, Qian Jiang   +5 more
wiley   +1 more source

Automatic Gleason Grading of Prostate Cancer Using Shearlet Transform and Multiple Kernel Learning

Journal of Imaging, 2016
The Gleason grading system is generally used for histological grading of prostate cancer. In this paper, we first introduce using the Shearlet transform and its coefficients as texture features for automatic Gleason grading.
Hadi Rezaeilouyeh, Mohammad H. Mahoor
doaj   +1 more source

Iterative CT reconstruction using shearlet-based regularization [PDF]

, 2012
In computerized tomography, it is important to reduce the image noise without increasing the acquisition dose. Extensive research has been done into total variation minimization for image denoising and sparse-view reconstruction. However, TV minimization
Goossens, Bart, Pizurica, Aleksandra, Staelens, Steven, Van Holen, Roel, Vandeghinste, Bert, Vandenberghe, Stefaan, Vanhove, Christian   +6 more
core   +1 more source

All the Groups of Signal Analysis from the (1+1)-affine Galilei Group [PDF]

, 2011
We study the relationship between the (1+1)-affine Galilei group and four groups of interest in signal analysis and image processing, viz., the wavelet or the affine group of the line, the Weyl-Heisenberg, the shearlet and the Stockwell groups.
Ali, S. Twareque, Chowdhury, S. Hasibul Hassan   +1 more
core   +2 more sources

Image fusion based on shift invariant shearlet transform and stacked sparse autoencoder

Journal of Algorithms & Computational Technology, 2018
Stacked sparse autoencoder is an efficient unsupervised feature extraction method, which has excellent ability in representation of complex data. Besides, shift invariant shearlet transform is a state-of-the-art multiscale decomposition tool, which is ...
Peng-Fei Wang, Xiao-Qing Luo, Xin-Yi Li, Zhan-Cheng Zhang   +3 more
doaj   +1 more source

Homogeneous approximation property for continuous shearlet transforms in higher dimensions

Journal of Inequalities and Applications, 2016
This paper is concerned with the generalization of the homogeneous approximation property (HAP) for a continuous shearlet transform to higher dimensions. First, we give a pointwise convergence result on the inverse shearlet transform in higher dimensions.
Yu Su, Wanchang Zhang, Wenting Su
doaj   +1 more source

Image interpolation using Shearlet based iterative refinement [PDF]

, 2013
This paper proposes an image interpolation algorithm exploiting sparse representation for natural images. It involves three main steps: (a) obtaining an initial estimate of the high resolution image using linear methods like FIR filtering, (b) promoting ...
Kutyniok, G., Lakshman, H., Lim, W. -Q, Marpe, D., Schwarz, H., Wiegand, T.   +5 more
core   +2 more sources

Asymptotic Analysis of Inpainting via Universal Shearlet Systems [PDF]

, 2014
Recently introduced inpainting algorithms using a combination of applied harmonic analysis and compressed sensing have turned out to be very successful.
Genzel, Martin, Kutyniok, Gitta
core   +2 more sources

Multivariate Shearlet Transform, Shearlet Coorbit Spaces and Their Structural Properties [PDF]

, 2012
This chapter is devoted to the generalization of the continuous shearlet transform to higher dimensions as well as to the construction of associated smoothness spaces and to the analysis of their structural properties, respectively. To construct canonical scales of smoothness spaces, so-called shearlet coorbit spaces, and associated atomic ...
Stephan Dahlke, Gabriele Steidl, Gerd Teschke   +2 more
openaire   +1 more source