Results 21 to 30 of about 1,028 (168)
Fast Discrete Curvelet Transforms [PDF]
Multiscale Modeling & Simulation, 2006 This paper describes two digital implementations of a new mathematical transform, namely, the second generation curvelet transform in two and three dimensions. The first digital transformation is based on unequally spaced fast Fourier transforms, while the second is based on the wrapping of specially selected Fourier samples.
Candès, Emmanuel +3 more
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Curvelet Transform Based Compression Algorithm for Low Resource Hyperspectral Image Sensors
Journal of Electrical and Computer Engineering, 2023 The wavelet transform is widely used in the task of hyperspectral image compression (HSIC). They have achieved outstanding performance in the compression of a hyperspectral (HS) image, which has attracted great interest.
Shrish Bajpai +5 more
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Novel Adaptive Sparse-Spike Deconvolution Bearing Fault Detection Method Based on Curvelet Transform
IEEE Access, 2021 This paper has proposed a novel bearing fault detection method about adaptive Sparse-spike Deconvolution based on Curvelet Transform (CTSSD), where the novel technique about adaptive Sparse-spike Deconvolution names after ASSD.
Yanfeng Li +3 more
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IEEE Signal Processing Magazine, 2010 Multiresolution methods are deeply related to image processing, biological and computer vision, and scientific computing. The curvelet transform is a multiscale directional transform that allows an almost optimal nonadaptive sparse representation of objects with edges.
Jianwei Ma, Gerlind Plonka
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Personal recognition using finger knuckle shape oriented features and texture analysis
Journal of King Saud University: Computer and Information Sciences, 2016 Finger knuckle print is considered as one of the emerging hand biometric traits due to its potentiality toward the identification of individuals. This paper contributes a new method for personal recognition using finger knuckle print based on two ...
K. Usha, M. Ezhilarasan
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Synthetic Aperture Radar Image Clustering with Curvelet Subband Gauss Distribution Parameters
Remote Sensing, 2014 Curvelet transform is a multidirectional multiscale transform that enables sparse representations for signals. Curvelet-based feature extraction for Synthetic Aperture Radar (SAR) naturally enables utilizing spatial locality; the use of curvelet-based ...
Erkan Uslu, Songul Albayrak
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Applied and Computational Harmonic Analysis, 2005 We develop a unifying perspective on several decompositions exhibiting directional parabolic scaling. In each decomposition, the individual atoms are highly anisotropic at fine scales, with effective support obeying the parabolic scaling principle length ≈ width^2. Our comparisons allow to extend Theorems known for one decomposition to others. We start
Candès, Emmanuel J., Donoho, David L.
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A Hybrid Signal Processing and Deep Learning Framework for Accurate Transformer Fault Identification [PDF]
E3S Web of ConferencesAccurate discrimination among magnetizing inrush currents and internal fault currents is still a major problem in power transformer protection. Conventional time domain analysis gives little or no insight into transient characteristics and stimulates ...
Krishna Rao Y.V. Balarama +4 more
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IMAGE RETRIEVAL BASED ON DISCRETE CURVELET TRANSFORM
Iraqi Journal of Information & Communication Technology, 2021 Content-Based Image Retrieval (CBIR) is a process of searching for an image according to the content or feature that is within it. Nowadays, most image retrieval applications have been developed to meet these needs, so this application will provide ...
Zahraa H. Al-Obaide, Ayad A. Al-Ani
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A Curvelet-Transform-Based Image Fusion Method Incorporating Side-Scan Sonar Image Features
Journal of Marine Science and Engineering, 2023 Current methods of fusing side-scan sonar images fail to tackle the issues of shadow removal, preservation of information from adjacent strip images, and maintenance of image clarity and contrast. To address these deficiencies, a novel curvelet-transform-
Xinyang Zhao +5 more
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