Results 41 to 50 of about 38,702 (167)

Despeckling of Ultrasound Images Using Block Matching and SVD in Sparse Representation

Sensors, 2022
This work proposes a novel scheme for speckle suppression on medical images acquired by ultrasound sensors. The proposed method is based on the block matching procedure by using mutual information as a similarity measure in grouping patches in a ...
Rogelio Reyes-Reyes, Gibran H. Aranda-Bojorges, Beatriz P. Garcia-Salgado, Volodymyr Ponomaryov, Clara Cruz-Ramos, Sergiy Sadovnychiy   +5 more
doaj   +1 more source

Spectral speckle customization

Optica, 2023
Speckle patterns are used in a broad range of applications including microscopy, imaging, and light–matter interactions. Tailoring speckles’ statistics can dramatically enhance their performance in applications. We present an experimental technique for customizing the spatio-spectral speckled intensity statistics of optical pulses ...
Nicholas Bender, Henry Haig, Demetrios N. Christodoulides, Frank W. Wise   +3 more
openaire   +2 more sources

Speckle‐Based Optical Cryptosystem and its Application for Human Face Recognition via Deep Learning

Advanced Science, 2022
Face recognition has become ubiquitous for authentication or security purposes. Meanwhile, there are increasing concerns about the privacy of face images, which are sensitive biometric data and should be protected. Software‐based cryptosystems are widely
Qi Zhao, Huanhao Li, Zhipeng Yu, Chi Man Woo, Tianting Zhong, Shengfu Cheng, Yuanjin Zheng, Honglin Liu, Jie Tian, Puxiang Lai   +9 more
doaj   +1 more source

An Integrated Method for Simulation of Synthetic Aperture Radar (SAR) Raw Data in Moving Target Detection

Remote Sensing, 2017
SAR (Synthetic Aperture Radar) raw data simulation has a significant role in the evaluation of newly-proposed methods for the estimation of moving target parameters.
Arash Rahmanizadeh, Jalal Amini
doaj   +1 more source

At-wavelength metrology of an X-ray mirror using a downstream wavefront modulator

Journal of Synchrotron Radiation
At-wavelength metrology of X-ray optics plays a crucial role in evaluating the performance of optics under actual beamline operating conditions, enabling in situ diagnostics and optimization.
Tunhe Zhou, Lingfei Hu, Hongchang Wang
doaj   +1 more source

Particle Shape Recognition with Interferometric Particle Imaging Using a Convolutional Neural Network in Polar Coordinates

Photonics, 2023
A convolutional neural network (CNN) was used to identify the morphology of rough particles from their interferometric images. The tested particles had the shapes of sticks, crosses, and dendrites as well as Y-like, L-like, and T-like shapes.
Alexis Abad, Alexandre Fahy, Quentin Frodello, Barbara Delestre, Mohamed Talbi, Marc Brunel   +5 more
doaj   +1 more source

Recognition of Orbital Angular Momentum of Vortex Beams Based on Convolutional Neural Network and Multi-Objective Classifier

Photonics, 2023
Vortex beams carry orbital angular momentum (OAM), and their inherent infinite dimensional eigenstates can enhance the ability for optical communication and information processing in the classical and quantum fields.
Yanzhu Zhang, He Zhao, Hao Wu, Ziyang Chen, Jixiong Pu   +4 more
doaj   +1 more source

A feature based change detection approach using multi-scale orientation for multi-temporal SAR images

European Journal of Remote Sensing, 2020
Excellent operation regardless of weather conditions and superior resolution independent of sensor light are the most attractive and desired features of synthetic aperture radar (SAR) imagery.
R. Vijaya Geetha, S. Kalaivani
doaj   +1 more source

Convolutional Neural Network and Guided Filtering for SAR Image Denoising

Remote Sensing, 2019
Coherent noise often interferes with synthetic aperture radar (SAR), which has a huge impact on subsequent processing and analysis. This paper puts forward a novel algorithm involving the convolutional neural network (CNN) and guided filtering for SAR ...
Shuaiqi Liu, Tong Liu, Lele Gao, Hailiang Li, Qi Hu, Jie Zhao, Chong Wang   +6 more
doaj   +1 more source

Statistical Properties of an Unassisted Image Quality Index for SAR Imagery

Remote Sensing, 2019
The M estimator is a recently proposed image-quality index used to evaluate the despeckling operation in SAR (Synthetic Aperture Radar) data. It is used also to rank despeckling filters and to improve their design.
Luis Gomez, Raydonal Ospina, Alejandro C. Frery   +2 more
doaj   +1 more source