Results 41 to 50 of about 1,159 (170)
Seismic Amplitude Recovery with Curvelets
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
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
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
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
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
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 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
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]
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]
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

