Results 31 to 40 of about 2,599 (188)

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

open access: yesThe 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

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

open access: yesSahand 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   +2 more
doaj   +1 more source

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

open access: yesJournal 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   +3 more
doaj   +1 more source

Image interpolation using Shearlet based iterative refinement [PDF]

open access: yes, 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.   +5 more
core   +2 more sources

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

open access: yesIEEE 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   +4 more
doaj   +1 more source

Homogeneous approximation property for continuous shearlet transforms in higher dimensions

open access: yesJournal 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

Gabor Shearlets [PDF]

open access: yes, 2013
In this paper, we introduce Gabor shearlets, a variant of shearlet systems, which are based on a different group representation than previous shearlet constructions: they combine elements from Gabor and wavelet frames in their construction.
Bodmann, Bernhard G.   +2 more
core   +2 more sources

Asymptotic Analysis of Inpainting via Universal Shearlet Systems [PDF]

open access: yes, 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

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

open access: yes, 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   +1 more
core   +2 more sources

A novel feature descriptor based on the shearlet transform [PDF]

open access: yes2011 18th IEEE International Conference on Image Processing, 2011
Problems such as image classification, object detection and recognition rely on low-level feature descriptors to represent visual information. Several feature extraction methods have been proposed, including the Histograms of Oriented Gradients (HOG), which captures edge information by analyzing the distribution of intensity gradients and their ...
William Robson Schwartz   +3 more
openaire   +1 more source

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