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

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 sampling...

You might also read

Related Articles

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

Sort by
Same author

High-efficiency arbitrary array generator.

Applied optics·2010
Same author

Multichannel single-output color pattern recognition by use of a joint-transform correlator.

Applied optics·2010
Same author

Two-dimensional wavelet transform by wavelength multiplexing.

Applied optics·2010
Same author

Two-dimensional wavelet processor.

Applied optics·2010
Same author

Single-channel polychromatic pattern recognition by the use of a joint-transform correlator.

Applied optics·2010
Same author

Wavelet-transform-based composite filters for invariant pattern recognition.

Applied optics·2010

Related Experiment Video

Updated: Jul 6, 2026

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
11:03

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids

Published on: December 4, 2017

Image restoration from vibrating photographic systems.

Z Zalevsky1, I Raveh, D Mendlovic

  • 1Faculty of Engineering, Tel Aviv University, 69978 Tel Aviv, Israel.

Applied Optics
|March 8, 2008
PubMed
Summary

This study introduces an optoelectronic image-processing algorithm to correct distortions from mechanical vibrations on moving platforms. The computerized method precisely handles various vibrations, eliminating the need for complex mechanical attenuators.

More Related Videos

Digital Inline Holographic Microscopy (DIHM) of Weakly-scattering Subjects
10:16

Digital Inline Holographic Microscopy (DIHM) of Weakly-scattering Subjects

Published on: February 8, 2014

Related Experiment Videos

Last Updated: Jul 6, 2026

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids
11:03

An Analog Macroscopic Technique for Studying Molecular Hydrodynamic Processes in Dense Gases and Liquids

Published on: December 4, 2017

Digital Inline Holographic Microscopy (DIHM) of Weakly-scattering Subjects
10:16

Digital Inline Holographic Microscopy (DIHM) of Weakly-scattering Subjects

Published on: February 8, 2014

Area of Science:

  • Optoelectronics
  • Image Processing
  • Mechanical Vibrations

Background:

  • Photographic systems on moving platforms are susceptible to image distortions caused by mechanical vibrations.
  • Existing solutions involve complex and costly mechanical attenuators to mitigate these distortions.

Purpose of the Study:

  • To develop an innovative optoelectronic image-processing algorithm to counteract image distortions.
  • To provide a computerized solution that eliminates the need for mechanical vibration attenuators.

Main Methods:

  • Reformulating the image-processing algorithm for various vibration types with enhanced precision.
  • Exploring and incorporating algorithms for previously unaddressed vibration types.
  • Implementing a fully computerized system for real-time image distortion correction.

Main Results:

  • The developed algorithm accurately corrects image distortions caused by diverse mechanical vibrations.
  • The system successfully avoids the requirement for mechanical attenuating devices.
  • New types of vibration have been analyzed and addressed by the algorithm.

Conclusions:

  • The proposed optoelectronic algorithm offers an effective and efficient solution for image distortion correction on moving platforms.
  • This computerized approach significantly simplifies vibration mitigation in photographic systems.
  • The algorithm's precision and adaptability to new vibration types represent a significant advancement in the field.