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

Upsampling01:22

Upsampling

284
Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
284
Downsampling01:20

Downsampling

222
When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
The Fourier transform of the decimated sequence reveals a combination of scaled and shifted versions of the original spectrum. This...
222
Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

7.1K
Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been...
7.1K
Computed Tomography01:10

Computed Tomography

4.8K
Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
4.8K
Deconvolution01:20

Deconvolution

222
Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
222

You might also read

Related Articles

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

Sort by
Same author

Safety, tolerability, pharmacokinetics, pharmacodynamics, and immunogenicity of STSA-1002, recombinant anti-human C5a fully human monoclonal antibody, in a randomized, first-in-human phase I study in healthy adults.

Frontiers in pharmacology·2026
Same author

Large-Eddy Simulation of the FDA Benchmark Blood Pump: Validation Against Experiments and Implications for Turbulent Flow Mechanisms.

Artificial organs·2026
Same author

Mechanisms and treatments of lymphedema.

Frontiers in immunology·2026
Same author

Vunakizumab for Radiographic Axial Spondyloarthritis: A Randomized Clinical Trial.

JAMA network open·2026
Same author

Design, synthesis and biological evaluation of selective inhibitors against the L858R/T790 M/C797S mutant EGFR kinase based on the scaffold of brigatinib.

European journal of medicinal chemistry·2026
Same author

Dock8 regulates Th2 cell differentiation through ANXA1.

Fundamental research·2026

Related Experiment Video

Updated: Aug 17, 2025

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

2.5K

Refinement method for compressive hyperspectral data cubes based on self-fusion.

Mengjun Zhu, Wenjun Yi, Zhaohua Dong

    Journal of the Optical Society of America. A, Optics, Image Science, and Vision
    |December 15, 2022
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a self-fusion refinement (SFR) method to reduce noise and enhance details in compressive hyperspectral images. SFR significantly improves image quality, outperforming other denoising techniques.

    More Related Videos

    Hyperspectral Imaging as a Tool to Study Optical Anisotropy in Lanthanide-Based Molecular Single Crystals
    07:24

    Hyperspectral Imaging as a Tool to Study Optical Anisotropy in Lanthanide-Based Molecular Single Crystals

    Published on: April 14, 2020

    17.4K
    Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals
    07:34

    Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals

    Published on: August 22, 2019

    8.1K

    Related Experiment Videos

    Last Updated: Aug 17, 2025

    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

    2.5K
    Hyperspectral Imaging as a Tool to Study Optical Anisotropy in Lanthanide-Based Molecular Single Crystals
    07:24

    Hyperspectral Imaging as a Tool to Study Optical Anisotropy in Lanthanide-Based Molecular Single Crystals

    Published on: April 14, 2020

    17.4K
    Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals
    07:34

    Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals

    Published on: August 22, 2019

    8.1K

    Area of Science:

    • Hyperspectral Imaging
    • Image Processing
    • Data Science

    Background:

    • Compressive hyperspectral images often contain noise and artifacts.
    • These issues degrade image quality and hinder applications.
    • Existing denoising methods may not fully restore spatial and spectral details.

    Purpose of the Study:

    • To present a novel self-fusion refinement (SFR) method for compressive hyperspectral data cubes.
    • To effectively reduce noise and improve spatial and spectral details.
    • To assess the universality, flexibility, and extensibility of the SFR method.

    Main Methods:

    • Developed a self-fusion refinement (SFR) technique using raw data cubes.
    • Conducted simulations and practical experiments to validate the method.
    • Applied SFR with various fusion algorithms, including joint bilateral filtering (JBF), guided filtering (GF), and Markov random field (MRF).

    Main Results:

    • The SFR method demonstrated superior performance in noise reduction and spatial-spectral detail restoration compared to traditional denoising methods.
    • The effectiveness of SFR is dependent on the chosen fusion algorithm.
    • SFR implemented with JBF yielded better results than GF or MRF.

    Conclusions:

    • The proposed SFR method significantly enhances the quality of compressive hyperspectral data cubes.
    • SFR effectively reduces noise, removes artifacts, and improves spatial and spectral details.
    • The improved data quality benefits subsequent hyperspectral imaging applications.