Results 51 to 60 of about 256 (167)
Open Physics, 2016 Image steganography is one of the ever growing computational approaches which has found its application in many fields. The frequency domain techniques are highly preferred for image steganography applications.
Jude Hemanth Duraisamy +3 more
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Energy Reports, 2022 Modeling and forecasting electricity consumption (EC) help industry managers make better strategic decisions. In this study, a hybrid approach for predicting EC is proposed which first EC is decomposed into approximate and detail parts based on wavelet ...
Alireza Saranj, Mehdi Zolfaghari
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Wavelets, Ridgelets, and Curvelets for Poisson Noise Removal [PDF]
IEEE Transactions on Image Processing, 2008 In order to denoise Poisson count data, we introduce a variance stabilizing transform (VST) applied on a filtered discrete Poisson process, yielding a near Gaussian process with asymptotic constant variance. This new transform, which can be deemed as an extension of the Anscombe transform to filtered data, is simple, fast, and efficient in (very) low ...
Zhang, Bo +2 more
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IEEE Access, 2021 Renewable energy (RE) generation levels are increasing in modern power systems at a fast rate due to their advantages of clean and non-exhaustible nature of energy.
Nagendra Kumar Swarnkar +3 more
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Papers in Palaeontology, Volume 11, Issue 3, May/June 2025.Abstract Fossilized food items found in or passed through the digestive tract of an animal (bromalites) offer a window into the dietary habits and ecological role of the producer taxon. Bromalites have been documented from several small to mid‐sized parvipelvian ichthyosaurian species from the Lower Jurassic, but are seldom documented for the largest ...
Giovanni Serafini +3 more
wiley +1 more source
Breast cancer detection using combined curvelet based enhancement and a novel segmentation methods
Biomedical Papers, 2015 Aim: This paper describes the digital implementation of a mathematical transform namely 2D Fast Discrete Curvelet Transform (FDCT) via UnequiSpaced Fast Fourier Transform (USFFT) in combination with the novel segmentation method for effective detection ...
Balasubramaniam Senthilkumar +1 more
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Face recognition based on ridgelet transforms
Procedia Computer Science, 2010 AbstractThis paper relates to a face recognition and verification technique based on ridgelet transforms. Our proposed method first uses the ridgelet transform of the face image for feature extraction. This involves first applying a sequen- tial combination of radon and wavelet transforms to both the training and test images.
Satyajit N. Kautkar +5 more
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Active Seismic Exploration of Planetary Subsurfaces via Compressive Sensing
Earth and Space Science, Volume 12, Issue 3, March 2025.Abstract Geophysical measurements, such as seismic experiments, are a key target for scientific activities on planetary surfaces. Dense spatial sampling of such measurements is often desirable, and acquisition is traditionally performed at regular intervals.
Jingchuan Wang +16 more
wiley +1 more source
RECOGNITION METHOD OF METAL FRACTURE IMAGES BASED ONEMPIRICAL RIDGELET-2DPCA
Jixie qiangdu, 2019 The empirical ridgelet transform has the ability of direction selectivity and adaptive decomposition. 2 DPCA can directly use the original image toconstruct the covariance matrix.
LI ZhiNong, WU WeiXiao
doaj
Ridgelets and the Representation of Mutilated Sobolev Functions [PDF]
SIAM Journal on Mathematical Analysis, 2001 Summary: We show that ridgelets, a system introduced in [\textit{E. J. Candès}, Appl. Comput. Harmon. Anal. 6, No. 2, 197-218 (1999; Zbl 0931.68104)], are optimal to represent smooth multivariate functions that may exhibit linear singularities. For instance, let \(\{u\cdot x - b >0\}\) be an arbitrary hyperplane and consider the singular function \(f(x)
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