Results 21 to 30 of about 2,421 (183)
IEEE Access, 2017 Sparsity is one of the key concepts that allows the signal recovery at a significantly lower subsample rate than required by the Nyquist-Shannon sampling theorem.
Guomin Sun, Jinsong Leng, Tingzhu Huang
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River boundary detection and autonomous cruise for unmanned surface vehicles
IET Image Processing, Volume 17, Issue 11, Page 3196-3215, 18 September 2023., 2023 The detection of river boundaries is important for judging the drivable area of USVs, and it can also be utilized to ensure driving safety by limiting the effective drivable areas of the USVs in the river areas. This work proposes a real‐time detection method for river boundaries based on a LiDAR sensor to detect the boundaries of incompletely ...
Kai Zhang +5 more
wiley +1 more source
Variational Multiscale Nonparametric Regression: Algorithms and Implementation
Algorithms, 2020 Many modern statistically efficient methods come with tremendous computational challenges, often leading to large-scale optimisation problems. In this work, we examine such computational issues for recently developed estimation methods in nonparametric ...
Miguel del Alamo +3 more
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Asymptotic Analysis of Inpainting via Universal Shearlet Systems [PDF]
, 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
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Digital Shearlet Transforms [PDF]
, 2012 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 ...
Kutyniok, G., Lim, W. -Q, Zhuang, X.
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Quaternionic shearlet transform [PDF]
Optik, 2018 Abstract The shearlet transform has been shown to be a valuable and powerful time–frequency analyzing tool for optics and non-stationary signal processing. In this article, we propose a novel transform called quaternionic shearlet transform which is designed to represent quaternion-valued signals at different scales, locations and orientations.
Firdous A. Shah, Azhar Y. Tantary
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Embeddings of anisotropic Besov spaces into Sobolev spaces
Mathematische Nachrichten, Volume 296, Issue 4, Page 1380-1393, April 2023., 2023 Abstract We study the embeddings of (homogeneous and inhomogeneous) anisotropic Besov spaces associated to an expansive matrix A into Sobolev spaces, with a focus on the influence of A on the embedding behavior. For a large range of parameters, we derive sharp characterizations of embeddings.
David Bartusel, Hartmut Führ
wiley +1 more source
Review of surface defect detection of steel products based on machine vision
IET Image Processing, Volume 17, Issue 2, Page 303-322, 7 February 2023., 2023 Abstract Steel plays an important role in industry, and the surface defect detection for steel products based on machine vision has been widely used during the last two decades. This paper attempts to review state‐of‐art of vision‐based surface defect inspection technology of steel products by investigating about 170 publications.
Bo Tang +3 more
wiley +1 more source
SAR Interferogram Filtering of Shearlet Domain Based on Interferometric Phase Statistics
Applied Sciences, 2017 This paper presents a new filtering approach for Synthetic Aperture Radar (SAR) interferometric phase noise reduction in the shearlet domain, depending on the coherent statistical characteristics.
Yonghong He +5 more
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TEXT LOCALIZATION IN SCENE IMAGES BY BENDELET TRANSFORM
International Journal of Advances in Signal and Image Sciences, 2019 In an automated text recognition system, one of the prerequisites is the localization of text. It is a challenging task in scene image due to their background and non uniform size of characters in the images.
Ajay Kumar Gupta, Rama Krishna K
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