Results 91 to 100 of about 4,542 (232)
Complex shearlets and rotary phase congruence tensor for corner detection
Mingzhe Wang, Changming Sun, A. Sowmya
semanticscholar +1 more source
Inhomogeneous shearlet coorbit spaces [PDF]
In this paper we establish inhomogeneous coorbit spaces related to the continuous shearlet transform and the weighted Lebesgue spaces $L_{p,v}, p\geq 1,$ for certain weights $v$. We present an inhomogeneous shearlet frame for $L_2(\mathbb{R}^d)$ which gives rise to a reproducing kernel $R_\mathfrak{F}$ that is not contained in the space $\mathcal{A}_{1,
arxiv
DRST: Deep Residual Shearlet Transform for Densely Sampled Light Field Reconstruction [PDF]
The Image-Based Rendering (IBR) approach using Shearlet Transform (ST) is one of the most effective methods for Densely-Sampled Light Field (DSLF) reconstruction. The ST-based DSLF reconstruction typically relies on an iterative thresholding algorithm for Epipolar-Plane Image (EPI) sparse regularization in shearlet domain, involving dozens of ...
arxiv
Construction of Compactly Supported Shearlet Frames [PDF]
Shearlet tight frames have been extensively studied during the last years due to their optimal approximation properties of cartoon-like images and their unified treatment of the continuum and digital setting. However, these studies only concerned shearlet tight frames generated by a band-limited shearlet, whereas for practical purposes compact support ...
arxiv
Dualizable Shearlet Frames and Sparse Approximation [PDF]
Shearlet systems have been introduced as directional representation systems, which provide optimally sparse approximations of a certain model class of functions governed by anisotropic features while allowing faithful numerical realizations by a unified treatment of the continuum and digital realm. They are redundant systems, and their frame properties
arxiv
Bendlet Transform Based Adaptive Denoising Method for Microsection Images. [PDF]
Mei S+5 more
europepmc +1 more source
Continuous Shearlet Frames and Resolution of the Wavefront Set [PDF]
In recent years directional multiscale transformations like the curvelet- or shearlet transformation have gained considerable attention. The reason for this is that these transforms are - unlike more traditional transforms like wavelets - able to efficiently handle data with features along edges. The main result in [G. Kutyniok, D. Labate.
arxiv
Noise reduction by adaptive-SIN filtering for retinal OCT images. [PDF]
Hu Y, Ren J, Yang J, Bai R, Liu J.
europepmc +1 more source
Digital Shearlet Transforms [PDF]
Over the past years, various representation systems which sparsely approximate functions governed by anisotropic features such as edges in images have been proposed. We exemplarily mention the systems of contourlets, curvelets, and shearlets. Alongside the theoretical development of these systems, algorithmic realizations of the associated transforms ...
arxiv