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

Deconvolution01:20

Deconvolution

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...
Downsampling01:20

Downsampling

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...
¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)01:20

¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)

When proton-coupled carbon-13 spectra are simplified by a broadband proton decoupling technique, structural information about the coupled protons is lost. Distortionless enhancement by polarization transfer (DEPT) is a technique that provides information on the number of hydrogens attached to each carbon in a molecule. While the DEPT experiment utilizes complex pulse sequences, the pulse delay and flip angle are specifically manipulated. The resulting signals have different phases depending on...
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...
Discrete Fourier Transform01:15

Discrete Fourier Transform

The Discrete Fourier Transform (DFT) is a fundamental tool in signal processing, extending the discrete-time Fourier transform by evaluating discrete signals at uniformly spaced frequency intervals. This transformation converts a finite sequence of time-domain samples into frequency components, each representing complex sinusoids ordered by frequency. The DFT translates these sequences into the frequency domain, effectively indicating the magnitude and phase of each frequency component present...

You might also read

Related Articles

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

Sort by
Same author

A multi-scale feature fusion network for CNV segmentation in SD-OCT images toward quantitative assessment of neovascular AMD.

Scientific reports·2026
Same author

MonoRelief V2: Leveraging Real Data for High-Fidelity Monocular Relief Recovery.

IEEE transactions on visualization and computer graphics·2026
Same author

Drug-drug interaction by metabolites: Challenges and solutions during therapeutics innovation.

Drug metabolism and disposition: the biological fate of chemicals·2026
Same author

Genome-wide identification of the HvSCAMP gene family in barley and functional characterization of the role of HvSCAMP1 in salt tolerance.

BMC plant biology·2026
Same author

Glutamine synthetase: Spotlighting the emerging roles in tumor progression and therapeutic avenues.

Critical reviews in oncology/hematology·2026
Same author

Multi-omics characterization of C4orf19 in HNSCC: constructing prognostic signatures for immunotherapy and chemotherapy response prediction.

BMC cancer·2026
Same journal

Gaussian-modulated continuous-variable quantum key distribution over 60 km fiber using an integrated silicon photonic receiver.

Optics letters·2026
Same journal

E2E-OCT: end-to-end joint learning model using optical coherence tomography images for vocal cord leukoplakia diagnosis.

Optics letters·2026
Same journal

Holographic generation of panoramic 3D scenes by concave ellipsoidal mirror reflection.

Optics letters·2026
Same journal

Dual-pilot phase recovery with pair-wise maximum-ratio combining for coherent PONs.

Optics letters·2026
Same journal

Mapping the whispering gallery modes of a CaF<sub>2</sub> disk resonator with half-tapered fibers to estimate the fundamental mode volume.

Optics letters·2026
Same journal

Quantitative estimation of deep-subwavelength scale via dark-field scattering axial energy concentration decay profiles.

Optics letters·2026
See all related articles

Related Experiment Video

Updated: May 25, 2026

Micro/Nano-scale Strain Distribution Measurement from Sampling Moir&#233; Fringes
06:56

Micro/Nano-scale Strain Distribution Measurement from Sampling Moiré Fringes

Published on: May 23, 2017

Fringe pattern denoising via image decomposition.

Shujun Fu1, Caiming Zhang

  • 1School of Mathematics, Shandong University, Jinan, China. shujunfu@163.com

Optics Letters
|February 3, 2012
PubMed
Summary
This summary is machine-generated.

This study introduces a novel fringe pattern denoising method using image decomposition to effectively remove noise while preserving fringe features. The adaptive wavelet shrinkage technique enhances the clarity of optical interferometry fringe patterns.

More Related Videos

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

Related Experiment Videos

Last Updated: May 25, 2026

Micro/Nano-scale Strain Distribution Measurement from Sampling Moir&#233; Fringes
06:56

Micro/Nano-scale Strain Distribution Measurement from Sampling Moiré Fringes

Published on: May 23, 2017

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

Area of Science:

  • Optical interferometry
  • Image processing
  • Signal processing

Background:

  • Noise reduction is crucial for accurate analysis of fringe patterns in optical interferometry.
  • Existing denoising methods may struggle to preserve fine fringe details while removing noise effectively.

Purpose of the Study:

  • To develop a new fringe pattern denoising method based on image decomposition.
  • To improve the quality of fringe patterns for enhanced analysis in optical interferometry.

Main Methods:

  • Fringe images are decomposed into low-frequency fringe, high-frequency fringe, and noise components.
  • Components are processed in distinct function spaces.
  • Adaptive thresholding within wavelet shrinkage is employed for noise reduction.

Main Results:

  • The proposed method successfully generates smooth and clean fringe patterns across various frequencies.
  • Fringe features are effectively preserved during the denoising process.
  • Both simulation and experimental results validate the algorithm's performance.

Conclusions:

  • The image decomposition-based denoising method offers a robust solution for optical interferometry.
  • The technique enhances fringe pattern quality, aiding in more precise measurements and analysis.