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

CID2013: a database for evaluating no-reference image quality assessment algorithms.

Toni Virtanen, Mikko Nuutinen, Mikko Vaahteranoksa

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |December 11, 2014
    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

    Specialist palliative care access and end-of-life hospitalizations in acute leukemia: a nationwide register study.

    Leukemia & lymphoma·2026
    Same author

    Uptake of Clinical Decision Support Systems Among Health Care Professionals in Six European Countries and the United States: Cross-Sectional Survey Within the I-CARE4OLD Project.

    Journal of medical Internet research·2026
    Same author

    Access to specialist palliative care and health care service utilization during the final year of life among patients with kidney disease.

    Clinical kidney journal·2026
    Same author

    Assessing the Impact of Specialist Palliative Care on Healthcare Utilisation at the End of Life Among Patients With Pancreatic Cancer: A Nationwide Register-Based Cohort Study.

    Cancer medicine·2026
    Same author

    Timing of specialist palliative care and acute healthcare utilization at the end of life among adults who died of cancer: a nationwide cohort study.

    BMC cancer·2026
    Same author

    Specialist Palliative Care and the Use of Healthcare Services Among Patients With Multiple Myeloma: A Nationwide Cohort Study.

    European journal of haematology·2026

    A new database, CID2013, was created to improve no-reference (NR) image quality assessment for complex, multi-distorted images. This resource aids in developing more robust algorithms for real-world photographic challenges.

    Area of Science:

    • Computer Vision
    • Image Processing
    • Human-Computer Interaction

    Background:

    • No-reference (NR) image quality assessment (IQA) algorithms face challenges with complex, multi-distorted images common in real-world photography.
    • Existing NR-IQA methods often fail to accurately assess image quality when multiple distortion types coexist.

    Purpose of the Study:

    • To introduce the CID2013 database, a novel resource designed to facilitate the development and validation of NR-IQA algorithms for images with multiple distortions.
    • To provide a comprehensive dataset for evaluating the performance of NR-IQA algorithms on diverse, real-world image content.

    Main Methods:

    • The CID2013 database was constructed using images from 79 different cameras across 8 scenes, evaluated by 188 subjects.
    • A hybrid subjective evaluation method combining absolute category rating and pair comparison was developed and employed.

    Related Experiment Videos

  • Subjective ratings included mean opinion scores (MOS) and assessments of sharpness, graininess, lightness, and color saturation.

    • Main Results:

    • The database comprises 480 images with detailed subjective data and subject background information.
    • The developed evaluation method allowed images within a scene to serve as mutual references, enhancing rating accuracy.
    • The CID2013 database offers extensive data for training and testing advanced NR-IQA models.

    Conclusions:

    • The CID2013 database provides a valuable, freely available resource for advancing NR-IQA research, particularly for complex image scenarios.
    • This database will enable the creation of more reliable and accurate image quality assessment tools for diverse applications.
    • The findings support the need for specialized datasets to address the limitations of current NR-IQA algorithms.