Results 41 to 50 of about 5,751 (196)

Polarized wavelets and curvelets on the sphere

open access: yes, 2009
The statistics of the temperature anisotropies in the primordial cosmic microwave background radiation field provide a wealth of information for cosmology and for estimating cosmological parameters. An even more acute inference should stem from the study
Bobin, J., Moudden, Y., Starck, J. L.
core   +1 more source

Iterative Deblending of off-the-Grid Simultaneous Source Data

open access: yesIEEE Access, 2021
Simultaneous source acquisition can enhance the seismic data quality or improve the field acquisition efficiency. However, one of the disadvantages is that the simultaneous source data are often obtained on a non-uniform sampled grid in realistic ...
Hua Zhang   +3 more
doaj   +1 more source

Fast Computation of Fourier Integral Operators [PDF]

open access: yes, 2006
We introduce a general purpose algorithm for rapidly computing certain types of oscillatory integrals which frequently arise in problems connected to wave propagation and general hyperbolic equations.
Candes, Emmanuel   +2 more
core   +6 more sources

Coronal Mass Ejection Detection using Wavelets, Curvelets and Ridgelets: Applications for Space Weather Monitoring

open access: yes, 2010
Coronal mass ejections (CMEs) are large-scale eruptions of plasma and magnetic feld that can produce adverse space weather at Earth and other locations in the Heliosphere.
Aschwanden   +30 more
core   +1 more source

Optimized Hybrid Deep Learning‐Based FPGA Accelerators for Denoising of Ultrasound Breast Images

open access: yesIET Circuits, Devices &Systems, Volume 2026, Issue 1, 2026.
This paper introduces a novel image‐denoising technique that integrates a hybrid deep learning (DL) model with a self‐improved orca predation (SOP) strategy. This hybrid model improves denoising performance by integrating a Convolutional Neural Network (CNN) with Bidirectional Long Short‐Term Memory (Bi‐LSTM).
K. Janaki   +4 more
wiley   +1 more source

Curvelet Approach for SAR Image Denoising, Structure Enhancement, and Change Detection [PDF]

open access: yes, 2009
In this paper we present an alternative method for SAR image denoising, structure enhancement, and change detection based on the curvelet transform. Curvelets can be denoted as a two dimensional further development of the well-known wavelets.
Roth, Achim   +2 more
core  

Robust Facial Recognition Using Unified Optimised Feature Fusion and Selection of Handcrafted and Deep Learning Features

open access: yesIET Image Processing, Volume 20, Issue 1, January/December 2026.
This study presents a robust facial recognition framework based on a unified optimised feature vector that fuses handcrafted descriptors and deep learning embeddings. Using binary grey wolf optimisation for feature selection, the approach reduces redundancy while preserving discriminative power.
Farid Ayeche, Adel Alti
wiley   +1 more source

Detection and discrimination of cosmological non-Gaussian signatures by multi-scale methods

open access: yes, 2003
Recent Cosmic Microwave Background (CMB) observations indicate that the temperature anisotropies arise from quantum fluctuations in the inflationary scenario. In the simplest inflationary models, the distribution of CMB temperature fluctuations should be
Aghanim   +33 more
core   +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

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