Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Neural Circuits01:25

Neural Circuits

1.9K
Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
1.9K
Extraction: Advanced Methods00:56

Extraction: Advanced Methods

577
Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is...
577

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A compressive hyperspectral video imaging system using a single-pixel detector.

Nature communications·2024
Same author

On-the-fly compressive single-pixel foveation using the STOne transform.

Optics express·2022
Same author

Infrared object classification with a hybrid optical convolution neural network.

Applied optics·2021
Same author

The complete genome sequence of a novel chrysovirus from the entomopathogenic fungus Beauveria bassiana Vuillemin.

Archives of virology·2021
Same author

The LAC Score Indicates Significant Fibrosis in Patients With Chronic Drug-Induced Liver Injury: A Large Biopsy-Based Study.

Frontiers in pharmacology·2021
Same author

Stable, active CO<sub>2</sub> reduction to formate via redox-modulated stabilization of active sites.

Nature communications·2021

Related Experiment Video

Updated: Oct 17, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

692

General neural network approach to compressive feature extraction.

Anthony Giljum, Weidi Liu, Le Li

    Applied Optics
    |October 6, 2021
    PubMed
    Summary
    This summary is machine-generated.

    Single-pixel camera computer vision faces a reconstruction vs. classification trade-off. A shallow neural network converts random to data-driven patterns, improving classification accuracy while enabling full scene reconstruction.

    More Related Videos

    Deep Neural Networks for Image-Based Dietary Assessment
    13:19

    Deep Neural Networks for Image-Based Dietary Assessment

    Published on: March 13, 2021

    9.5K
    Author Spotlight: Advancing Alzheimer's Research &#8211; Exploring Early Detection and Multi-Omics Approaches
    09:47

    Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

    Published on: December 15, 2023

    1.4K

    Related Experiment Videos

    Last Updated: Oct 17, 2025

    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
    03:31

    Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

    Published on: December 15, 2023

    692
    Deep Neural Networks for Image-Based Dietary Assessment
    13:19

    Deep Neural Networks for Image-Based Dietary Assessment

    Published on: March 13, 2021

    9.5K
    Author Spotlight: Advancing Alzheimer's Research &#8211; Exploring Early Detection and Multi-Omics Approaches
    09:47

    Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

    Published on: December 15, 2023

    1.4K

    Area of Science:

    • Computer Vision
    • Computational Imaging
    • Machine Learning

    Background:

    • Single-pixel cameras offer computational imaging advantages but face limitations.
    • A key challenge is the trade-off between image reconstruction and classification accuracy.
    • Random projections enable reconstruction but hinder classification, especially with background noise.

    Purpose of the Study:

    • To overcome the reconstruction-classification trade-off in single-pixel camera systems.
    • To improve image classification accuracy while maintaining full scene reconstruction capabilities.
    • To develop a method for converting random projection measurements to data-driven ones.

    Main Methods:

    • Utilized a shallow neural network for nonlinear measurement conversion.
    • Employed random projection patterns for initial scene sampling.
    • Transformed measurements to emulate data-driven patterns for enhanced analysis.

    Main Results:

    • Demonstrated significant improvement in image classification accuracy.
    • Successfully enabled full image reconstruction from the transformed measurements.
    • Showcased the neural network's effectiveness in mitigating background signal interference.

    Conclusions:

    • The proposed neural network approach effectively resolves the single-pixel camera's reconstruction-classification dilemma.
    • This method enhances classification performance without sacrificing reconstruction fidelity.
    • Offers a promising pathway for advanced single-pixel imaging applications.