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

Stochastic modeling and estimation of multispectral image data.

R R Schultz1, R L Stevenson

  • 1Lab. for Image and Signal Anal., Notre Dame Univ., IN.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|January 1, 1995
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

Memory with emotional content, brain amygdala and Alzheimer's disease.

Acta neurologica Scandinavica·2009
Same author

The cognitive subscale of the "Alzheimer's Disease Assessment Scale" in a Brazilian sample.

Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas·2001
Same author

Median nerve SEP after a high medullary lesion. Preserved N18 and absent P14 components. Case report.

Arquivos de neuro-psiquiatria·1999
Same author

[Polyneuropathy deficiency among Xavante indians].

Revista da Associacao Medica Brasileira (1992)·1997
Same author

Inverse halftoning via MAP estimation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·1997
Same author

The enhancement of images containing subsampled chrominance information.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·1997
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
Same journal

BayeTopo: Bayesian-based Topology-guided Learning for Vascular Imaging Segmentation.

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

This study introduces a new Gibbs prior model for restoring multispectral images, effectively handling blur and noise. The proposed method preserves cross-channel correlations for superior image restoration compared to traditional techniques.

Area of Science:

  • Image Processing
  • Computer Vision
  • Signal Processing

Background:

  • Multispectral images contain correlated data across different frequency bands.
  • Harsh imaging conditions often introduce blur and noise, degrading image quality.
  • Monochromatic restoration methods fail to leverage cross-channel correlations.

Purpose of the Study:

  • To develop an advanced restoration algorithm for multispectral images.
  • To account for spatial discontinuities and nonstationary cross-channel correlations.
  • To improve upon existing monochromatic and linear multichannel restoration techniques.

Main Methods:

  • A Gibbs prior model for multispectral data as a Markov random field.
  • Incorporation of spatial cliques with nonlinear operators for discontinuity preservation.

Related Experiment Videos

  • Integration of spectral cliques to model nonstationary cross-channel correlations.
  • Application within a Bayesian algorithm for color image restoration.

    • Main Results:

    • The proposed Gibbs prior model effectively preserves spatial discontinuities.
    • Nonstationary cross-channel correlations are successfully incorporated into the model.
    • Bayesian restoration using the proposed model yields superior results.
    • Quantitative and visual improvements over multichannel Wiener and least squares methods.

    Conclusions:

    • The novel Gibbs prior model offers enhanced multispectral image restoration.
    • Accounting for spatial and spectral correlations significantly improves restoration quality.
    • The developed Bayesian algorithm provides a robust solution for degraded multispectral images.