Results 41 to 50 of about 1,159 (170)

Seismic Amplitude Recovery with Curvelets

open access: yes, 2007
A non-linear singularity-preserving solution to the least-squares seismic imaging problem with sparseness and continuity constraints is proposed. The applied formalism explores curvelets as a directional frame that, by their sparsity on the image, and their invariance under the imaging operators, allows for a stable recovery of the amplitudes.
Moghaddam, P.P.   +2 more
openaire   +2 more sources

Implicit Neural Representations for Unsupervised Seismic Data Interpolation From Single Gather

open access: yesGeophysical Prospecting, Volume 73, Issue 9, November 2025.
ABSTRACT Missing seismic traces from data acquisition limits often significantly degrade data quality. This study presents an unsupervised method using implicit neural representation (INR), specifically sinusoidal representation network (SIREN), to enhance seismic data quality from a single shot gather.
Ganghoon Lee, Snons Cheong, Yunseok Choi
wiley   +1 more source

A Large‐Scale Dataset and Robust Multifeature Representation With Maximum Correlation‐Based Feature Fusion and Matching for Apparel Image Retrieval

open access: yesExpert Systems, Volume 42, Issue 9, September 2025.
ABSTRACT Finding the correct match to a probe image from a vast amount of data is critical for the online retrieval of apparel images. These images are captured under an uncontrolled environment (e.g., viewpoint and illumination changes); therefore, such type of data is extremely challenging in Content‐Based Image Retrieval (CBIR) research.
Marryam Murtaza   +5 more
wiley   +1 more source

Cosmological Non-Gaussian Signature Detection: Comparing Performance of Different Statistical Tests

open access: yesEURASIP Journal on Advances in Signal Processing, 2005
Currently, it appears that the best method for non-Gaussianity detection in the cosmic microwave background (CMB) consists in calculating the kurtosis of the wavelet coefficients.
Starck J-L   +4 more
doaj   +1 more source

Classifying Power Quality Issues in Railway Electrification Systems Using a Nonsubsampled Contourlet Transform Approach

open access: yesEngineering Reports, Volume 7, Issue 8, August 2025.
Railway electrification systems indeed have unique challenges due to variable power demand and dynamic train operations. Power quality (PQ) monitoring for high‐speed trains (HSTs) is essential to guarantee the effectual and unfailing operation of the ESs.
Pampa Sinha   +6 more
wiley   +1 more source

Enhanced Hardrock Seismic Imaging Through Multi‐Scale Information‐Guided Unsupervised Learning

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 2, Issue 2, June 2025.
Abstract In hardrock or crystalline rock geological settings, due to low impedance contrast, reflected energy is usually weak. In addition, often stronger surface waves and noncoherent noise are observed including high‐frequency scattering noise, which seriously covers the useful reflection signal. Therefore, imaging of hardrock seismic data with a low
Liuqing Yang   +2 more
wiley   +1 more source

Multi-Focus Image Fusion Based on Fractal Dimension and Parameter Adaptive Unit-Linking Dual-Channel PCNN in Curvelet Transform Domain

open access: yesFractal and Fractional
Multi-focus image fusion is an important method for obtaining fully focused information. In this paper, a novel multi-focus image fusion method based on fractal dimension (FD) and parameter adaptive unit-linking dual-channel pulse-coupled neural network (
Liangliang Li   +4 more
doaj   +1 more source

Geophysical Investigations of the Fujairah Basin, East Coast of United Arab Emirates: Insights Into Tectonic Evolution

open access: yesJournal of Geophysical Research: Solid Earth, Volume 130, Issue 4, April 2025.
Abstract The Fujairah basin in the Gulf of Oman experienced a complex tectonic evolution related to Late Cretaceous ophiolite obduction and Oligocene‐Miocene Zagros continental collision. The structure of the foreland basin in Oman‐UAE is well‐known, but the structure and evolution of the hinterland basin behind the obducted ophiolite and underlying ...
M. Y. Ali   +5 more
wiley   +1 more source

Effectiveness of Image Curvelet Transform Coefficients for Image Denoising [PDF]

open access: yesAl-Rafidain Journal of Computer Sciences and Mathematics
  In 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
doaj   +1 more source

FETAL ULTRASOUND IMAGE DENOISING USING CURVELET TRANSFORM [PDF]

open access: yesICTACT 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
doaj  

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