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

Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

809
Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...
809

You might also read

Related Articles

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

Sort by
Same author

Supervising radar depth completion using the monocular depth large model.

Applied optics·2025
Same author

Development of Low-Cost Single-Chip Automotive 4D Millimeter-Wave Radar.

Sensors (Basel, Switzerland)·2025
Same author

Water-stable MAPbBr<sub>3</sub>@PbBrOH QDs confined by metal-organic framework for photodegradation of wastewater.

Journal of colloid and interface science·2025
Same author

Remote PPG Measurement Using a Synergistic Time-Frequency Network.

IEEE journal of biomedical and health informatics·2025
Same author

Photo-synthesis of sensing silk fibroin fibers with double-network structures.

International journal of biological macromolecules·2025
Same author

Tetrathienylethene-based porous framework composites for boosting photocatalytic antibacterial activity.

Proceedings of the National Academy of Sciences of the United States of America·2025

Related Experiment Video

Updated: Mar 9, 2026

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
07:05

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Published on: June 18, 2021

2.9K

Spectral bidirectional texture function reconstruction by fusing multiple-color and spectral images.

Wei Dong, Hui-Liang Shen, Xin Du

    Applied Optics
    |January 7, 2017
    PubMed
    Summary

    This study introduces an efficient framework for acquiring and reconstructing spectral bidirectional texture functions (BTFs). The method enhances spectral reflectance reconstruction accuracy for high-fidelity material appearance reproduction.

    More Related Videos

    ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis
    07:11

    ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis

    Published on: August 19, 2021

    3.1K
    Measurement of 3-Dimensional cAMP Distributions in Living Cells using 4-Dimensional x, y, z, and &lambda; Hyperspectral FRET Imaging and Analysis
    08:22

    Measurement of 3-Dimensional cAMP Distributions in Living Cells using 4-Dimensional x, y, z, and λ Hyperspectral FRET Imaging and Analysis

    Published on: October 27, 2020

    4.3K

    Related Experiment Videos

    Last Updated: Mar 9, 2026

    Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
    07:05

    Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

    Published on: June 18, 2021

    2.9K
    ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis
    07:11

    ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis

    Published on: August 19, 2021

    3.1K
    Measurement of 3-Dimensional cAMP Distributions in Living Cells using 4-Dimensional x, y, z, and &lambda; Hyperspectral FRET Imaging and Analysis
    08:22

    Measurement of 3-Dimensional cAMP Distributions in Living Cells using 4-Dimensional x, y, z, and λ Hyperspectral FRET Imaging and Analysis

    Published on: October 27, 2020

    4.3K

    Area of Science:

    • Computer Vision
    • Computer Graphics
    • Material Appearance Modeling

    Background:

    • Spectral bidirectional texture functions (BTFs) capture spatial and spectral material properties.
    • Acquiring raw spectral BTFs is a time-consuming process.
    • Accurate material appearance reproduction requires comprehensive spectral BTF data.

    Purpose of the Study:

    • To develop an efficient framework for spectral BTF acquisition and reconstruction.
    • To improve the accuracy of spectral reflectance reconstruction.
    • To enable high-fidelity material appearance reproduction under diverse lighting.

    Main Methods:

    • Acquisition of red-green-blue (RGB) BTF images and a single spectral image.
    • Reconstruction of full spectral BTFs by fusing RGB and spectral data.
    • Application of nonnegative matrix factorization (NMF) for data fusion.

    Main Results:

    • The proposed framework significantly enhances spectral reflectance reconstruction accuracy.
    • Reconstructed spectral BTFs lead to higher fidelity material appearance reproduction.
    • The method is more accurate than existing spectral BTF reconstruction algorithms.

    Conclusions:

    • The novel framework offers an efficient solution for spectral BTF acquisition and reconstruction.
    • High-fidelity material appearance reproduction is achievable with the proposed method.
    • This approach addresses the limitations of time-consuming raw spectral BTF acquisition.