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 Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Association between metabolic syndrome and benign prostatic hyperplasia: The underlying molecular connection.

Life sciences·2024
Same author

Recent advances in bacteria-based platforms for inflammatory bowel diseases treatment.

Exploration (Beijing, China)·2024
Same author

Understanding the anti-browning mechanism and physicochemical properties in potato pulp during the magnetic field processing.

Food chemistry·2024
Same author

Can AI generate diagnostic reports for radiologist approval on CXR images? A multi-reader and multi-case observer performance study.

Journal of X-ray science and technology·2024
Same author

Exploring the influence of extruded rice adjunct on wort separation efficiency: A bio-macromolecule degradation perspective.

Food chemistry·2024
Same author

Astral-based DIA proteomics explored the flavor enhancement mechanism of Chinese traditional smoked bacon by staphylococcal co-fermentation.

Food chemistry·2024
Same journal

In-silico combinatorial design and pharmacophore modeling of potent antimalarial 4-anilinoquinolines utilizing QSAR and computed descriptors.

SpringerPlus·2017
Same journal

Erratum to: Implication of Paris Agreement in the context of long-term climate mitigation goals.

SpringerPlus·2017
Same journal

Erratum to: Associations between adherence, depressive symptoms and health-related quality of life in young adults with cystic fibrosis.

SpringerPlus·2017
Same journal

Erratum to: Numerical method to compute acoustic scattering effect of a moving source.

SpringerPlus·2017
Same journal

Identifying appropriate protected areas for endangered fern species under climate change.

SpringerPlus·2017
Same journal

An Algorithm to detect balancing of iterated line sigraph.

SpringerPlus·2017
See all related articles

Related Experiment Video

Updated: Mar 17, 2026

Quantitative Fundus Autofluorescence for the Evaluation of Retinal Diseases
07:22

Quantitative Fundus Autofluorescence for the Evaluation of Retinal Diseases

Published on: March 11, 2016

11.9K

Automatic no-reference image quality assessment.

Hongjun Li1, Wei Hu1, Zi-Neng Xu1

  • 1School of Electronic Information Engineering, Nantong University, Nantong, 226019 People's Republic of China.

Springerplus
|July 29, 2016
PubMed
Summary
This summary is machine-generated.

This study introduces a new no-reference image quality assessment method using natural image statistics in the wavelet domain. The efficient algorithm accurately predicts visual quality across various distortions without needing a reference image.

Keywords:
Generalized Gaussian density modelImage quality assessment (IQA)Wavelet domain

More Related Videos

Using Computer Vision Libraries to Streamline Nuclei Quantification
06:25

Using Computer Vision Libraries to Streamline Nuclei Quantification

Published on: June 6, 2025

739
Automated Quantification and Analysis of Cell Counting Procedures Using ImageJ Plugins
11:01

Automated Quantification and Analysis of Cell Counting Procedures Using ImageJ Plugins

Published on: November 17, 2016

49.4K

Related Experiment Videos

Last Updated: Mar 17, 2026

Quantitative Fundus Autofluorescence for the Evaluation of Retinal Diseases
07:22

Quantitative Fundus Autofluorescence for the Evaluation of Retinal Diseases

Published on: March 11, 2016

11.9K
Using Computer Vision Libraries to Streamline Nuclei Quantification
06:25

Using Computer Vision Libraries to Streamline Nuclei Quantification

Published on: June 6, 2025

739
Automated Quantification and Analysis of Cell Counting Procedures Using ImageJ Plugins
11:01

Automated Quantification and Analysis of Cell Counting Procedures Using ImageJ Plugins

Published on: November 17, 2016

49.4K

Area of Science:

  • Computer Vision
  • Image Processing
  • Signal Processing

Background:

  • No-reference image quality assessment (NR-IQA) lacks generalizability across diverse distortion types.
  • Existing NR-IQA methods are often limited to specific distortions, hindering broad application.
  • A robust NR-IQA method applicable to various distortions is critically needed.

Purpose of the Study:

  • To develop a generalized no-reference image quality assessment method.
  • To address the limitations of existing NR-IQA metrics that are distortion-specific.
  • To propose an algorithm that performs well across a wide range of image degradations.

Main Methods:

  • Utilized a natural image statistic model in the wavelet transform domain.
  • Employed a generalized Gaussian density model for wavelet coefficient distribution.
  • Developed a method requiring correlative parameters for image quality evaluation.

Main Results:

  • The proposed algorithm demonstrated ease of implementation and computational efficiency.
  • Tested on three large-scale benchmark databases, achieving good prediction performance.
  • Successfully applied to various well-known image distortion types.

Conclusions:

  • The developed NR-IQA method offers a generalized approach to quality assessment.
  • The algorithm is efficient, easy to implement, and performs well across multiple distortions.
  • This work contributes a versatile solution for evaluating image quality without a reference.