Results 31 to 40 of about 5,751 (196)
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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Quantum algorithms using the curvelet transform [PDF]
Proceedings of the forty-first annual ACM symposium on Theory of computing, 2009 64 pages, 4 figures; improved algorithm and lower bound for finding the center of a radial function; revised presentation; to appear in STOC ...
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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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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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Face Recognition Using Curvelet Transform
, 2010 This paper presents a new method for the problem of human face recognition from still images. This is based on a multiresolution analysis tool called Digital Curvelet Transform. Curvelet transform has better directional and edge representation abilities than wavelets.
Hejazi, Hana, Alhanjouri, Mohammed A.
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Alexandria Engineering Journal, 2020 To ensure safety of maintenance of refinery unit and improve reliability of refinery unit, the risk assessment model of refinery unit maintenance is established based on fuzzy second generation curvelet neural network optimized by improved firefly ...
Bin Zhao +3 more
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Wavelets, ridgelets and curvelets on the sphere [PDF]
, 2005 We present in this paper new multiscale transforms on the sphere, namely the isotropic undecimated wavelet transform, the pyramidal wavelet transform, the ridgelet transform and the curvelet transform. All of these transforms can be inverted i.e.
Aghanim +33 more
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A proximal iteration for deconvolving Poisson noisy images using sparse representations [PDF]
, 2008 We propose an image deconvolution algorithm when the data is contaminated by Poisson noise. The image to restore is assumed to be sparsely represented in a dictionary of waveforms such as the wavelet or curvelet transforms.
Dupé, François-Xavier +2 more
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Effectiveness of Image Curvelet Transform Coefficients for Image Denoising [PDF]
Al-Rafidain Journal of Computer Sciences and MathematicsIn this research, we investigate the effect of image curvelet transform coefficients in image denoising. The curvelet transform applies to input images, resulting in a set of curvelet coefficients that capture different frequency and directional ...
Hadia Abdulla +2 more
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FETAL ULTRASOUND IMAGE DENOISING USING CURVELET TRANSFORM [PDF]
ICTACT Journal on Image and Video Processing, 2015 The random speckle noise in the acquired fetal ultrasound images is caused by the interference of reflected ultrasound wave fronts. The presence of speckle noise will degrade the quality of the image and even hide image details, which in turn affect the ...
J. Nithya, M. Madheswaran
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