Results 61 to 70 of about 89 (85)
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2015
In this chapter, we will provide a comprehensive overview of shearlet coorbit theory. We will present an almost self-contained introduction into coorbit theory which is the basis for all our investigations. We also discuss the group theoretical background of the continuous shearlet transform, and we explain how the shearlet transform can be combined ...
Sören Häuser +3 more
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In this chapter, we will provide a comprehensive overview of shearlet coorbit theory. We will present an almost self-contained introduction into coorbit theory which is the basis for all our investigations. We also discuss the group theoretical background of the continuous shearlet transform, and we explain how the shearlet transform can be combined ...
Sören Häuser +3 more
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Face recognition using Shearlets
2012 IEEE 7th International Conference on Industrial and Information Systems (ICIIS), 2012In this paper we propose a novel statistical face recognition method that uses a new multiresolution analysis called Shearlet transform for facial texture features representation. In recent years Shearlet transform has emerged as the most successful framework for the efficient representation of multidimensional data in which directional information is ...
Ajit Danti, K. M. Poornima
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The Discrete Shearlet Transform: A New Directional Transform and Compactly Supported Shearlet Frames
IEEE Transactions on Image Processing, 2010It is now widely acknowledged that analyzing the intrinsic geometrical features of the underlying image is essential in many applications including image processing. In order to achieve this, several directional image representation schemes have been proposed.
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Biorthogonal Multiresolution Analysis of Shearlets
2009 First International Conference on Information Science and Engineering, 2009In this paper, we will give the framework of biorthogonal multiresolution analysis of shearlets in two dimensions, and study associated mathematical properties. Then, we will generalize the classical cascade algorithm.
Ji-zheng Di, Zhi-hui Shi
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2018 26th European Signal Processing Conference (EUSIPCO), 2018
In 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 important structures of natural images such as edges in the sparse transform domain.
Thomas Wiegand +4 more
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In 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 important structures of natural images such as edges in the sparse transform domain.
Thomas Wiegand +4 more
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Shearlet Features for Pedestrian Detection
Journal of Mathematical Imaging and Vision, 2018A long-time, hand-crafted features governed by a directional image analysis have been the base for the best performing pedestrian detection algorithms. In the past few years, approaches using convolutional neural networks have taken over the leadership concerning detection quality.
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Shearlets and pseudo-differential operators
Collectanea Mathematica, 2016Shearlets on the cone are a multi-scale and multi-directional discrete system that have near-optimal representation of the so-called cartoon-like functions. They form Parseval frames, have better geometrical sensitivity than traditional wavelets and an implementable framework.
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Parabolic Molecules: Curvelets, Shearlets, and Beyond
2014Anisotropic representation systems such as curvelets and shearlets have had a significant impact on applied mathematics in the last decade. The main reason for their success is their superior ability to optimally resolve anisotropic structures such as singularities concentrated on lower dimensional embedded manifolds, for instance, edges in images or ...
Sandra Keiper +3 more
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Shearlet Multiresolution and Multiple Refinement
2012Starting from the concept of filterbanks and subband coding, we present an entirely digital approach to shearlet multiresolution which is not a discretization of the continuous transform but is naturally connected to the filtering of discrete data, the usual procedure in digital signal processing. It will be shown that a full analogy of multiresolution
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Deep Shearlet Residual Learning Network for Single Image Super-Resolution
IEEE Transactions on Image Processing, 2021Tianyu Geng, Guiling Sun, Xiao-yang Liu
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