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 Experiment Videos

Noise variance estimation using image noise cross-correlation model on SEM images.

K S Sim1, M E Nia, C P Tso

  • 1Faculty of Engineering and Technology, Multimedia University, Melaka, Malaysia.

Scanning
|September 11, 2012
PubMed
Summary

This study validates a novel image noise cross-correlation model for accurate noise variance and signal-to-noise ratio (SNR) estimation. The model proves efficient across diverse scanning electron microscope image types, outperforming existing estimators.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Advanced metric for evaluating the performance of photovoltaic module enhancement techniques using a lifespan, cost and power-based approach.

Scientific reports·2026
Same author

Erratum: Centrality-Dependent Modification of Jet-Production Rates in Deuteron-Gold Collisions at sqrt[s_{NN}]=200  GeV [Phys. Rev. Lett. 116, 122301 (2016)].

Physical review letters·2025
Same author

An improved analytical solution on viscous dissipation effect in extended Stokes' second problem in microchannel with isothermal boundaries.

Heliyon·2024
Same author

An economic feasibility assessment of implementing photovoltaic module reflectors under Malaysian meteorological conditions.

Scientific reports·2024
Same author

Development of assessment methods for photovoltaic module enhancing techniques using the lifespan parameter.

Heliyon·2023
Same author

Surgical site infection and development of antimicrobial sutures: a review.

European review for medical and pharmacological sciences·2022

Area of Science:

  • Image processing
  • Microscopy
  • Signal analysis

Background:

  • Numerous digital image noise variance and signal-to-noise ratio (SNR) estimation techniques exist.
  • Existing methods vary in accuracy and applicability across different image types.

Purpose of the Study:

  • To evaluate the accuracy and efficiency of the image noise cross-correlation estimation model.
  • To compare the proposed model against existing estimators for digital image noise analysis.

Main Methods:

  • Application of the image noise cross-correlation estimation model.
  • Testing across various scanning electron microscope (SEM) image datasets.
  • Comparative analysis with established noise estimation techniques.

Main Results:

Related Experiment Videos

  • The image noise cross-correlation model demonstrated high accuracy.
  • The model proved efficient and reliable across diverse SEM image types.
  • Superior performance of the proposed model compared to existing estimators was confirmed.

Conclusions:

  • The image noise cross-correlation model is a robust and accurate tool for noise variance and SNR estimation.
  • This method offers improved performance for scanning electron microscope images.
  • The model's versatility makes it suitable for a broad range of digital image analysis applications.