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

709
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...
709
Downsampling01:20

Downsampling

806
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...
806
Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

2.7K
Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
2.7K
Computed Tomography01:10

Computed Tomography

9.6K
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...
9.6K
Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

14.8K
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...
14.8K
Distance Measurements by Taping01:18

Distance Measurements by Taping

630
Tapes are essential in surveying for accurate, durable, and short-distance measurements. Made from lightweight, nylon-coated steel, they offer flexibility and strength for rugged outdoor use. The nylon coating protects against rust and wear, extending the tape's life. Standard lengths, around 30 meters, are marked in meters and millimeters for precision.Surveyors select tapes based on site conditions and accuracy needs. Lightweight, nylon-coated tapes are commonly used for ease of handling and...
630

You might also read

Related Articles

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

Sort by
Same author

Accurate and fast event-based shape measurement of mixed reflectance scenes.

Nature communications·2026
Same author

Investigating Structurally and Pigmentary Colored Featherworks via Noninvasive Methodologies.

ACS omega·2026
Same author

Optimizing atrial fibrillation detection through ECG feature selection using Extra-Trees and statistical association measures.

Journal of electrocardiology·2026
Same author

Predicting substance use behaviors with machine learning using small sets of judgment and contextual variables.

Npj mental health research·2026
Same author

Automated HFrEF Diagnosis Using an Optimized TimeSformer Model in Echocardiography.

Journal of imaging informatics in medicine·2025
Same author

Comprehensive Optoelectronic Study of Copper Nitride: Dielectric Function and Bandgap Energies.

Nanomaterials (Basel, Switzerland)·2025
Same journal

Denoising algorithm of Φ-OTDR systems based on adaptive fractional wavelet transform denoising.

Optics express·2026
Same journal

Millisecond photon-to-photon latency and high-speed volumetric projection system for optogenetics.

Optics express·2026
Same journal

Polarization-encoded coaxial structured light for high-precision 3D surface profilometry.

Optics express·2026
Same journal

Discrete freeform optical design based on collaborative optimization of point cloud and local normals.

Optics express·2026
Same journal

Ultrafast ghost imaging with 25 GHz speckle switching and wavelength-division multiplexing.

Optics express·2026
Same journal

Atomic vapor cells fabricated by femtosecond laser welding of standard-optical-quality glass.

Optics express·2026
See all related articles

Related Experiment Video

Updated: Apr 6, 2026

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
11:34

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

Published on: December 3, 2013

16.2K

High spatio-temporal resolution video with compressed sensing.

Roman Koller, Lukas Schmid, Nathan Matsuda

    Optics Express
    |July 21, 2015
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a novel compressive video camera using a binary photomask to synthesize high-speed video from single images. Optimized mask design and reconstruction algorithms achieve superior spatial resolution and performance.

    More Related Videos

    Lensless Fluorescent Microscopy on a Chip
    11:23

    Lensless Fluorescent Microscopy on a Chip

    Published on: August 17, 2011

    18.4K
    Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
    06:25

    Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

    Published on: February 12, 2014

    8.9K

    Related Experiment Videos

    Last Updated: Apr 6, 2026

    High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
    11:34

    High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

    Published on: December 3, 2013

    16.2K
    Lensless Fluorescent Microscopy on a Chip
    11:23

    Lensless Fluorescent Microscopy on a Chip

    Published on: August 17, 2011

    18.4K
    Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
    06:25

    Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

    Published on: February 12, 2014

    8.9K

    Area of Science:

    • Optics and Photonics
    • Computational Imaging
    • Video Processing

    Background:

    • Traditional high-speed cameras are limited by sensor frame rates and data storage.
    • Compressive sensing offers a potential solution for capturing dynamic scenes with reduced data acquisition.

    Purpose of the Study:

    • To develop and validate a prototype compressive video camera system.
    • To investigate the impact of mask design and reconstruction algorithms on video synthesis.
    • To achieve high spatial resolution in synthesized high-speed video.

    Main Methods:

    • Utilized a translated binary photomask in the optical path for scene encoding.
    • Developed and compared various mask designs and reconstruction algorithms.
    • Validated the system with prototype hardware and simulations.

    Main Results:

    • Demonstrated the synthesis of multiple output frames from single captured images.
    • Achieved higher spatial resolutions compared to previous compressive video methods.
    • Identified an optimal binary mask design and reconstruction strategy for performance and speed.

    Conclusions:

    • The prototype compressive video camera effectively synthesizes high-speed video with high spatial resolution.
    • The study provides insights into optimizing mask design and reconstruction for compressive video systems.
    • This approach offers a promising alternative for high-speed imaging applications.