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

Computed Tomography01:10

Computed Tomography

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...
Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
Convolution: Math, Graphics, and Discrete Signals01:24

Convolution: Math, Graphics, and Discrete Signals

In any LTI (Linear Time-Invariant) system, the convolution of two signals is denoted using a convolution operator, assuming all initial conditions are zero. The convolution integral can be divided into two parts: the zero-input or natural response and the zero-state or forced response, with t0 indicating the initial time.
To simplify the convolution integral, it is assumed that both the input signal and impulse response are zero for negative time values. The graphical convolution process...

You might also read

Related Articles

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

Sort by
Same author

Backpropagation algorithms and Reservoir Computing in Recurrent Neural Networks for the forecasting of complex spatiotemporal dynamics.

Neural networks : the official journal of the International Neural Network Society·2020
Same author

Signal-detection tradeoff-analysis of optical vs digital Fourier transform computers.

Applied optics·2010
Same author

Comparison of image restoration methods.

Applied optics·2010
Same author

Training of a neural network for image superresolution based on a nonlinear interpolative vector quantizer.

Applied optics·2008
Same author

Superresolution of binary images with a nonlinear interpolative neural network.

Applied optics·2008
Same author

Universal trellis coded quantization.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2008
Same journal

Multifunctional reconfigurable terahertz metasurface based on vanadium dioxide phase transition: achieving broadband absorption and efficient polarization conversion.

Applied optics·2026
Same journal

High-Q-factor electromagnetically induced transparency utilizing quasi-bound states in the continuum in an all-dielectric terahertz metasurface.

Applied optics·2026
Same journal

Automated stitching interferometry for high-precision metrology of X-ray mirrors.

Applied optics·2026
Same journal

Experimental demonstration of an approach to designing a metal-dielectric DBR resonant cavity structure.

Applied optics·2026
Same journal

High-precision wavefront reconstruction from a single-shot interferogram using a physics-driven hybrid feature calibration network.

Applied optics·2026
Same journal

Ultra-high-Q Fano resonance based on coupled topological corner states in Kagome photonic crystals.

Applied optics·2026
See all related articles

Related Experiment Video

Updated: Jun 15, 2026

Lensless Fluorescent Microscopy on a Chip
11:23

Lensless Fluorescent Microscopy on a Chip

Published on: August 17, 2011

Optical computing for image bandwidth compression: analysis and simulation.

B R Hunt

    Applied Optics
    |March 6, 2010
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces an optical system for image bandwidth compression, mimicking digital methods without feedback. The system encodes low-frequency information and generates difference samples for efficient coding.

    More Related Videos

    Quasi-light Storage for Optical Data Packets
    07:45

    Quasi-light Storage for Optical Data Packets

    Published on: February 6, 2014

    Automated Compression Testing of the Ocular Lens
    05:19

    Automated Compression Testing of the Ocular Lens

    Published on: April 5, 2024

    Related Experiment Videos

    Last Updated: Jun 15, 2026

    Lensless Fluorescent Microscopy on a Chip
    11:23

    Lensless Fluorescent Microscopy on a Chip

    Published on: August 17, 2011

    Quasi-light Storage for Optical Data Packets
    07:45

    Quasi-light Storage for Optical Data Packets

    Published on: February 6, 2014

    Automated Compression Testing of the Ocular Lens
    05:19

    Automated Compression Testing of the Ocular Lens

    Published on: April 5, 2024

    Area of Science:

    • Optics
    • Image Processing
    • Computer Science

    Background:

    • Digital methods dominate image bandwidth compression computations.
    • Feedback differential pulse code modulation (DPCM) is a common digital technique.

    Purpose of the Study:

    • To explore the use of optics for image bandwidth compression computations.
    • To introduce an optical system that captures DPCM features without optical feedback.

    Main Methods:

    • Review of feedback differential pulse code modulation (DPCM).
    • Introduction of an incoherent optical system for bandwidth compression.
    • Simulation of the optical system using digital image processing.

    Main Results:

    • Identified obstacles to direct optical analogy of feedback DPCM.
    • Developed an optical system encoding low-frequency information.
    • Generated difference samples suitable for low-bit coding.

    Conclusions:

    • An effective incoherent optical system for image bandwidth compression was developed.
    • The system captures essential DPCM features without optical feedback.
    • Simulation and performance data support the system's viability.