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

Image quality assessment based on a degradation model.

N Damera-Venkata1, T D Kite, W S Geisler

  • 1Dept. of Electr. and Comput. Eng., Texas Univ., Austin, TX 78712, USA. damera@vision.ece.utexas.edu

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|February 8, 2008
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

Automatic segmentation of inorganic nanoparticles in BF TEM micrographs.

Ultramicroscopy·2018
Same author

Stability and dynamics of forebrain vasopressin receptor and oxytocin receptor during pregnancy in prairie voles.

Journal of neuroendocrinology·2013
Same author

The effect of median filtering on edge estimation and detection.

IEEE transactions on pattern analysis and machine intelligence·2011
Same author

Soft x-ray platinum-carbon multilayer mirrors.

Applied optics·2010
Same author

Eye movements selective for spatial frequency and orientation during active visual search.

Vision research·2008
Same author

GAFFE: a gaze-attentive fixation finding engine.

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

We developed new methods to measure image quality degradation from frequency distortion and additive noise. Our novel noise quality measure (NQM) and distortion measure (DM) better reflect human visual perception than traditional metrics.

Area of Science:

  • Image processing
  • Computer vision
  • Human visual system modeling

Background:

  • Image quality assessment is challenging due to complex degradations.
  • Traditional metrics like PSNR do not fully capture perceptual quality.
  • Frequency distortion and additive noise are common image impairments.

Purpose of the Study:

  • To develop independent measures for frequency distortion and additive noise.
  • To assess the impact of these degradations on the human visual system.
  • To improve image restoration by decoupling degradation sources.

Main Methods:

  • Modeled degraded images with linear frequency distortion and additive noise.
  • Developed a noise quality measure (NQM) based on Peli's contrast pyramid.

Related Experiment Videos

  • Developed a distortion measure (DM) by analyzing frequency response deviations weighted by human visual system models.

    • Main Results:

    • The nonlinear NQM outperforms PSNR and linear measures for additive noise.
    • The developed DM quantifies frequency distortion effects on visual quality.
    • Demonstrated decoupling of distortion and noise in image restoration.

    Conclusions:

    • Independent measures for frequency distortion and noise improve image quality assessment.
    • The NQM and DM provide perceptually relevant metrics for image degradations.
    • Decoupling degradations aids in practical image restoration applications.