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

Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

12.3K
Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been...
12.3K
Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

2.7K
Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
2.7K
Chromatographic Resolution01:15

Chromatographic Resolution

2.4K
In chromatography, a solute moves through a chromatographic column and tends to spread, forming a Gaussian-shaped band. The longer the solute spends in the column, the broader the band becomes. The broadening can lead to overlaps within the column, affecting separation effectiveness.
The effectiveness of separation can be evaluated by determining the level of separation between two neighboring peaks in a chromatogram, which represents the individual components of a sample.
In chromatography,...
2.4K
Estimation of the Physical Quantities01:05

Estimation of the Physical Quantities

6.7K
On many occasions, physicists, other scientists, and engineers need to make estimates of a particular quantity. These are sometimes referred to as guesstimates, order-of-magnitude approximations, back-of-the-envelope calculations, or Fermi calculations. The physicist Enrico Fermi was famous for his ability to estimate various kinds of data with surprising precision. Estimating does not mean guessing a number or a formula at random. Instead, estimation means using prior experience and sound...
6.7K

You might also read

Related Articles

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

Sort by
Same author

Facial phenotyping of Holstein calves using pose estimation models with varying keypoints.

JDS communications·2026
Same author

Ultrafast pulse propagation time-domain dynamics in dispersive one-dimensional photonic waveguides.

Nanophotonics (Berlin, Germany)·2025
Same author

SURABHI: Self-Training Using Rectified Annotations-Based Hard Instances for Eidetic Cattle Recognition.

Sensors (Basel, Switzerland)·2024
Same author

Multi-View Hand-Hygiene Recognition for Food Safety.

Journal of imaging·2021
Same author

Designing a Computer-Vision Application: A Case Study for Hand-Hygiene Assessment in an Open-Room Environment.

Journal of imaging·2021
Same author

Fully‑automated deep‑learning segmentation of pediatric cardiovascular magnetic resonance of patients with complex congenital heart diseases.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance·2020
Same journal

Through the Looking Glass: A Dual Perspective on Weakly-Supervised Few-Shot Segmentation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Mask-guided Asymmetric Contrastive and Semantic Alignment for Unsupervised Person Re-Identification.

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

Related Experiment Video

Updated: May 1, 2026

Whole-cell Super-Resolution Imaging via DNA-PAINT on a Spinning Disk Confocal with Optical Photon Reassignment
07:12

Whole-cell Super-Resolution Imaging via DNA-PAINT on a Spinning Disk Confocal with Optical Photon Reassignment

Published on: January 6, 2026

773

Full-reference quality estimation for images with different spatial resolutions.

Ali Murat Demirtas, Amy R Reibman, Hamid Jafarkhani

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |April 2, 2014
    PubMed
    Summary
    This summary is machine-generated.

    A new quality estimator (QE) accurately assesses visual content quality, even with different image resolutions. This novel approach avoids resampling, improving multimedia communication services.

    More Related Videos

    Quantifying Intermembrane Distances with Serial Image Dilations
    07:45

    Quantifying Intermembrane Distances with Serial Image Dilations

    Published on: September 28, 2018

    8.7K
    Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
    06:25

    Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

    Published on: February 12, 2014

    7.8K

    Related Experiment Videos

    Last Updated: May 1, 2026

    Whole-cell Super-Resolution Imaging via DNA-PAINT on a Spinning Disk Confocal with Optical Photon Reassignment
    07:12

    Whole-cell Super-Resolution Imaging via DNA-PAINT on a Spinning Disk Confocal with Optical Photon Reassignment

    Published on: January 6, 2026

    773
    Quantifying Intermembrane Distances with Serial Image Dilations
    07:45

    Quantifying Intermembrane Distances with Serial Image Dilations

    Published on: September 28, 2018

    8.7K
    Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
    06:25

    Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

    Published on: February 12, 2014

    7.8K

    Area of Science:

    • Computer Vision
    • Signal Processing
    • Multimedia Systems

    Background:

    • Multimedia communication's pervasiveness relies on accurate visual quality assessment.
    • Current visual quality assessment (VQA) methods struggle with images of differing resolutions.
    • Assessing visual quality across different spatial resolutions remains a significant challenge.

    Purpose of the Study:

    • To develop a novel quality estimator (QE) for visual content.
    • To address the challenge of VQA for images with mismatched resolutions.
    • To evaluate the proposed QE's performance against existing methods.

    Main Methods:

    • Developed a novel quality estimator (QE) that bypasses image resampling.
    • Designed a QE specifically for distorted images with lower resolution than the reference.
    • Established a subjective test environment for comparative algorithm evaluation.

    Main Results:

    • The proposed QE demonstrates superior performance in most cases when input and reference images have different resolutions.
    • Subjective tests confirm the QE's effectiveness compared to other existing methods.
    • The algorithm also performs well when images share the same resolution.

    Conclusions:

    • The developed QE effectively estimates visual quality across varying image resolutions without resampling.
    • This advancement enhances the reliability of multimedia communication services.
    • The proposed method offers a robust solution for VQA in diverse resolution scenarios.