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Shearlet

In applied mathematical analysis, shearlets are a multiscale framework which allows to efficiently encode anisotropic features in multivariate… 
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Texture is one of the most important and effective element in image recognition and image processing. There are a lot of… 
2014
2014
This paper presents an improved approach to face recognition, called Regularized Shearlet Network (RSN), which takes advantage of… 
Highly Cited
2013
Highly Cited
2013
Abstract. A new technique for image fusion based on nonsubsampled shearlet transform (NSST) and improved pulse-coupled neural… 
2011
2011
Problems such as image classification, object detection and recognition rely on low-level feature descriptors to represent visual… 
2010
2010
An adaptive shrinkage threshold for image denoising in shearlet domain is presented. The shearlet transform not only provides the… 
2010
2010
In an effort to characterize uniform and pointwise Holder regularities, we obtain necessary decay rates and sufficient decay… 
2009
2009
The performance of image denoising based on multiscale geometric analysis (MGA), such as curvelets, contourlets, shearlets, has… 
2007
2007
Fourier Integral Operators appear naturally in a variety of problems related to hyperbolic partial differential equations. While…