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

Analytical-form model observers for decompressed images.

Dunling Li1, Murray Loew

  • 1Texas Instruments Inc., 20450 Century Boulevard, MS4041, Germantown, Maryland 20874, USA. dli@ti.com

Journal of the Optical Society of America. A, Optics, Image Science, and Vision
|December 7, 2007
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

Rapid and label-free influenza A virus subtyping using surface-enhanced Raman spectroscopy with incident-wavelength analysis.

Biomedical optics express·2024
Same author

Anonymization and validation of three-dimensional volumetric renderings of computed tomography data using commercially available T1-weighted magnetic resonance imaging-based algorithms.

Journal of medical imaging (Bellingham, Wash.)·2023
Same author

CaraNet: context axial reverse attention network for segmentation of small medical objects.

Journal of medical imaging (Bellingham, Wash.)·2023
Same author

CFPNet-M: A light-weight encoder-decoder based network for multimodal biomedical image real-time segmentation.

Computers in biology and medicine·2023
Same author

A teacher-student framework with Fourier Transform augmentation for COVID-19 infection segmentation in CT images.

Biomedical signal processing and control·2022
Same author

Trends in guideline-adherent chemoradiation therapy for locally advanced cervical cancer before and after the affordable care act.

Gynecologic oncology·2022
Same journal

Multi-module collaborative optimization-driven fast speckle correlation imaging in variable environments.

Journal of the Optical Society of America. A, Optics, image science, and vision·2026
Same journal

Secrecy performance analysis of NOMA-UWOC systems over a vertically stratified WGG oceanic turbulence channel.

Journal of the Optical Society of America. A, Optics, image science, and vision·2026
Same journal

Backscattering of plane waves in a composite system containing a rough surface and anisotropic scatterers.

Journal of the Optical Society of America. A, Optics, image science, and vision·2026
Same journal

Aspherical surface construction methods based on extended Jacobi polynomials.

Journal of the Optical Society of America. A, Optics, image science, and vision·2026
Same journal

OCT sidelobe suppression method based on dual-path phase sinusoidal modulation and minimum value fusion.

Journal of the Optical Society of America. A, Optics, image science, and vision·2026
Same journal

Optical design concepts using wavelength-selective diffractive optics to enable miniaturized multimodal endoscopic imaging across separated spectral ranges.

Journal of the Optical Society of America. A, Optics, image science, and vision·2026
See all related articles

This study introduces an analytical method to evaluate model observer performance on decompressed images using compression noise statistics. This approach aids in optimizing image compression algorithms based on observer performance criteria.

Area of Science:

  • Image processing
  • Signal detection theory
  • Computer vision

Background:

  • Evaluating image quality after compression is crucial for various applications.
  • Model observers offer a quantitative approach to assess image perception.
  • Existing methods often lack analytical tractability for decompressed images.

Purpose of the Study:

  • To develop an analytical method for evaluating model observer performance on decompressed images.
  • To derive performance metrics for various model observers, including the channelized Hotelling observer (CHO).
  • To validate the derived CHO performance using a standard compression algorithm like JPEG.

Main Methods:

  • Utilized compression noise statistics to derive analytical test statistics and detectabilities.

Related Experiment Videos

  • Formulated performance metrics for ideal, non-prewhitening, Hotelling, and CHO.
  • Validated the analytical CHO performance against empirical results from JPEG compression.

    • Main Results:

    • The derived CHO performance metrics, including receiver operating characteristics (ROCs) and areas under ROC curves, accurately predicted estimated values.
    • The analytical method demonstrated effectiveness in evaluating observer performance on JPEG-compressed images.
    • The study established a strong correlation between analytical predictions and empirical validation.

    Conclusions:

    • Analytical quality measures for decompressed images can be derived using compression noise statistics.
    • The developed method provides a theoretical foundation for optimizing image compression algorithms.
    • This work facilitates the creation of more effective model observers for assessing decompressed image quality.