Results 31 to 40 of about 762,837 (162)

Linearized Riesz transform and quasi-monogenic shearlets [PDF]

International Journal of Wavelets, Multiresolution and Information Processing, 2014
The only quadrature operator of order two on L2(ℝ2) which covaries with orthogonal transforms, in particular rotations is (up to the sign) the Riesz transform. This property was used for the construction of monogenic wavelets and curvelets. Recently, shearlets were applied for various signal processing tasks.
Sören Häuser, Bettina Heise, Gabriele Steidl   +2 more
openaire   +2 more sources

EMA‐GAN: A Generative Adversarial Network for Infrared and Visible Image Fusion with Multiscale Attention Network and Expectation Maximization Algorithm

Advanced Intelligent Systems, Volume 5, Issue 11, November 2023., 2023
Expectation‐maximization algorithm generative adversarial network (EMA‐GAN) is proposed to fuse images from different modalities. This is an EM learning framework based on GAN that maximizes the likelihood of fused results and estimates potential variables.
Xiuliang Xi, Xin Jin, Qian Jiang, Yu Lin, Wei Zhou, Lei Guo   +5 more
wiley   +1 more source

GF-3 SAR IMAGE DESPECKLING BASED ON THE IMPROVED NON-LOCAL MEANS USING NON-SUBSAMPLED SHEARLET TRANSFORM [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018
GF-3 synthetic aperture radar (SAR) images are rich in information and have obvious sparse features. However, the speckle appears in the GF-3 SAR images due to the coherent imaging system and it hinders the interpretation of images seriously.
R. Shi, Z. Sun
doaj   +1 more source

ShearLab 3D [PDF]

ACM Transactions on Mathematical Software, 2016
Wavelets and their associated transforms are highly efficient when approximating and analyzing one-dimensional signals. However, multivariate signals such as images or videos typically exhibit curvilinear singularities, which wavelets are provably deficient in sparsely approximating and also in analyzing in the sense of, for instance, detecting their ...
Gitta Kutyniok, Wang-Q Lim, Rafael Reisenhofer   +2 more
openaire   +4 more sources

Shearlet-based loop filter

, 2022
S.141-145In 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 ...
Marpe, D., Schwarz, H., Erfurt, J., Wiegand, T., Lim, W.Q.   +4 more
core   +1 more source

Warp-knitted Fabric Defect Segmentation Based on the Shearlet Transform [PDF]

, 2017
The Shearlet transform has been a burgeoning method applied in the area of image processing recently which, differing from the Wavelet transform, has excellent properties in processing singularities for multidimensional signals. Not only is it similar to
Dong Xia, Pibo Ma, Gaoming Jiang, Zhijia Dong, Xia, D., Jiang, G., Dong, Z., Ma, P.   +7 more
core   +1 more source

Use of the Shearlet Transform and Transfer Learning in Offline Handwritten Signature Verification and Recognition [PDF]

Sahand Communications in Mathematical Analysis, 2020
Despite the growing growth of technology, handwritten signature has been selected as the first option between biometrics by users. In this paper, a new methodology for offline handwritten signature verification and recognition based on the Shearlet ...
Atefeh Foroozandeh, Ataollah Askari Hemmat, Hossein Rabbani   +2 more
doaj   +1 more source

Identification of Colon Cancer Using Multi-Scale Feature Fusion Convolutional Neural Network Based on Shearlet Transform

IEEE Access, 2020
Colon cancer identification is of great significance in medical diagnosis. Real-time, objective and accurate inspection results will facilitate medical professionals to explore symptomatic treatment promptly.
Meiyan Liang, Zhuyun Ren, Jiamiao Yang, Wenxiang Feng, Bo Li   +4 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

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