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

A noise-filtering method using a local information measure.

A Beghdadi1, A Khellaf

  • 1Lab. des Proprietes Mecaniques et Thermodynamiques des Materiaux, Univ. de Paris-Nord, Villetaneuse.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|January 1, 1997
PubMed
Summary
This summary is machine-generated.

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

A new image smoothing method based on a simple model of spatial processing in the early stages of human vision.

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

Analysis of dynamic nuclear cardiac images by covariance function.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·1999
Same author

Computer display system for the blind based on an audio-tactile process.

Medical & biological engineering & computing·1993
Same author

Enhancement of normal polymorphonuclear cells respiratory burst in ascitic fluid by fibronectin. Comparison between cirrhotic and malignant ascitic fluids.

APMIS : acta pathologica, microbiologica, et immunologica Scandinavica·1992
Same author

Riboflavin responsive ethylmalonic-adipic aciduria in a 9-month-old boy with liver cirrhosis, myopathy and encephalopathy.

Journal of inherited metabolic disease·1991
Same author

Entropic contrast enhancement.

IEEE transactions on medical imaging·1991
Same journal

Mask-guided Asymmetric Contrastive and Semantic Alignment for Unsupervised Person Re-Identification.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Hyperbolic Cycle Alignment for Infrared-Visible Image Fusion.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Learning Gaze Synthesizer via 3D-eye Controlled Diffusion and Cross-domain Feature Alignment.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Underlying Semantic Diffusion for Effective and Efficient In-Context Learning.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

DiffRES: Unleashing Text-to-Image Diffusion Models for Generative Referring Expression Segmentation without Information Leakage.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Location Matters: Frequency-Spatial Dual Space Adaptation for Cross-Domain Few-Shot Segmentation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
See all related articles

A new nonlinear-noise filtering method using entropy outperforms standard median filters for image processing. It also shows advantages over center-weighted median filters in certain noise conditions.

Area of Science:

  • Computer Vision
  • Image Processing
  • Signal Processing

Background:

  • Image noise significantly degrades visual quality and hinders analysis.
  • Traditional filters like median and center-weighted median (CWM) have limitations in noise reduction effectiveness.
  • Entropy-based methods offer a novel approach to nonlinear noise filtering.

Purpose of the Study:

  • To introduce and evaluate a novel nonlinear-noise filtering method for image processing.
  • To compare the proposed entropy-based filter against the median filter and the CWM filter.
  • To assess the performance using both subjective and objective evaluation criteria.

Main Methods:

  • Development of a nonlinear noise filtering algorithm grounded in the concept of entropy.
  • Comparative analysis using standard image datasets with various noise types.

Related Experiment Videos

  • Subjective visual assessment and objective quantitative metrics (e.g., PSNR, SSIM) for performance evaluation.

    • Main Results:

    • The proposed entropy-based filter demonstrates superior performance compared to the classical median filter across different noise types.
    • In specific scenarios, the new method also achieves better results than the center-weighted median (CWM) filter.
    • Both subjective and objective evaluations confirm the effectiveness of the developed filtering technique.

    Conclusions:

    • The entropy-based nonlinear noise filtering method is a promising advancement in image processing.
    • This method offers a competitive alternative to existing filters, particularly the median filter.
    • Further research can explore its application in more complex image restoration tasks.