Results 41 to 50 of about 1,095 (204)

Blind Image Watermark Detection Algorithm Based on Discrete Shearlet Transform Using Statistical Decision Theory [PDF]

open access: yes, 2018
Blind watermarking targets the challenging recovery of the watermark when the host is not available during the detection stage. This paper proposes Discrete Shearlet Transform (DST) as a new embedding domain for blind image watermarking.
Kurugollu, Fatih   +8 more
core   +1 more source

Sparse Directional Image Representations using the Discrete Shearlet Transform

open access: yes, 2008
In spite of their remarkable success in signal processing applications, it is now widely acknowledged that traditional wavelets are not very effective in dealing multidimensional signals containing distributed discontinuities such as edges.
Demetrio Labate, Glenn Easley
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

Three-dimensional OCT Compressed Sensing using the shearlet transform under continuous trajectories sampling

open access: yesInformatics in Medicine Unlocked, 2020
Background: Optical Coherence Tomography (OCT) is an emerging medical imaging technology. It is well suited to various medical applications requiring tissue imaging with micrometer resolution and millimeter penetration depth such as in ophthalmology and ...
Bassel Haydar   +3 more
doaj   +1 more source

Apply hyperanalytic shearlet transform to geometric separation [PDF]

open access: yesEURASIP Journal on Advances in Signal Processing, 2014
This paper first proposes a novel image separation method based on the hyperanalytic shearlet. By combining the advantages of both the hyperanalytic wavelet transform and the shear operation, hyperanalytic shearlet is easy to implement and also has a low redundancy.
Shuaiqi Liu 0001   +4 more
openaire   +1 more source

Shearlet-based loop filter

open access: yes, 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.   +4 more
core   +1 more source

Corner detection based on shearlet transform and multi-directional structure tensor

open access: yes, 2020
Image corners have been widely used in various computer vision tasks. Current multi-scale analysis based corner detectors do not make full use of the multi-scale and multi-directional structural information.
Mingzhe Wang   +7 more
core   +1 more source

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

open access: yes, 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   +2 more
openaire   +1 more source

Space–Time Signal Analysis and the 3D Shearlet Transform [PDF]

open access: yesJournal of Mathematical Imaging and Vision, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Damiano Malafronte   +2 more
openaire   +3 more sources

Shearlet transform and convolutional neural network for histopathology images in breast cancer classification [PDF]

open access: yes
Breast cancer stands out as one of the global health threats, as it may cause death if improperly treated. Thus, detecting the illness at the early stage through precise diagnosis is important to prevent progression of tumors with effective treatments ...
Bakar, M. A. A.   +5 more
core   +1 more source

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