Results 41 to 50 of about 4,542 (232)
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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Shearlets on Bounded Domains [PDF]
, 2011 Shearlet systems have so far been only considered as a means to analyze $L^2$-functions defined on $\R^2$, which exhibit curvilinear singularities. However, in applications such as image processing or numerical solvers of partial differential equations the function to be analyzed or efficiently encoded is typically defined on a non-rectangular shaped ...
Gitta Kutyniok, Wang-Q Lim
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A Breast Cancer Image Classification Algorithm with 2c Multiclass Support Vector Machine
Journal of Healthcare Engineering, Volume 2023, Issue 1, 2023., 2023 Breast cancer is the most frequent type of cancer in women; however, early identification has reduced the mortality rate associated with the condition. Studies have demonstrated that the earlier this sickness is detected by mammography, the lower the death rate.
Mohammed Abdul Wajeed +7 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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Compactly Supported Shearlets [PDF]
, 2011 24 pages, 7 figures, Conference Proceeding: Approximation Theory XIII (San Antonio, TX, 2010), Springer (to appear)
Gitta Kutyniok, Jakob Lemvig, Wang-Q Lim
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Mine Microseismic Signal Denoising Based on a Deep Convolutional Autoencoder
Shock and Vibration, Volume 2023, Issue 1, 2023., 2023 Mine microseismic signal denoising is a basic and crucial link in microseismic data processing, which influences the accuracy and reliability of the monitoring system, and is of great significance with regard to safety during mining. Therefore, this study introduces a deep learning method to improve the mapping function and sparsity of signals in the ...
Ting Hu +6 more
wiley +1 more source
Introduction to Shearlets [PDF]
, 2012 Shearlets emerged in recent years among the most successful frameworks for the efficient representation of multidimensional data. Indeed, after it was recognized that traditional multiscale methods are not very efficient at capturing edges and other anisotropic features which frequently dominate multidimensional phenomena, several methods were ...
Gitta Kutyniok, Demetrio Labate
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Infrared and visible image fusion for ship targets based on scale‐aware feature decomposition
IET Image Processing, Volume 16, Issue 14, Page 3977-3987, 11 December 2022., 2022 Abstract Infrared (IR) and visible (VI) image fusion play an important role in improving the sea scene perception and ship target detection. Although there have been many studies on image fusion considering the sea scene characteristics, there has still been no adequate extraction method for detailed information of a ship target in a sea scene.
Xin Zheng, Di Kang, Pengbo Si, Qiang Wu
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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