Jove
Visualize
Contact Us

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

Restoration and Enhancement of Historical Stereo Photos.

Journal of imaging·2024
Same author

Image Matching by Bare Homography.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2024
Same author

SIFT Matching by Context Exposed.

IEEE transactions on pattern analysis and machine intelligence·2022
Same author

Humoral immune response to SARS-CoV-2 in five different groups of individuals at different environmental and professional risk of infection.

Scientific reports·2021
Same author

Editorial for Special Issue "Fine Art Pattern Extraction and Recognition".

Journal of imaging·2021
Same author

Oral health in asthmatic patients: a review : Asthma and its therapy may impact on oral health.

Clinical and molecular allergy : CMA·2020
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
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
See all related articles
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 Video

Updated: Feb 22, 2026

Author Spotlight: Improved Methods for Preparing Transverse Sections and Unrolled Whole Mounts of Maize Leaf Primordia for Fluorescence and Confocal Imaging
06:11

Author Spotlight: Improved Methods for Preparing Transverse Sections and Unrolled Whole Mounts of Maize Leaf Primordia for Fluorescence and Confocal Imaging

Published on: September 22, 2023

4.3K

Dissecting and Reassembling Color Correction Algorithms for Image Stitching.

Fabio Bellavia, Carlo Colombo

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |September 30, 2017
    PubMed
    Summary
    This summary is machine-generated.

    A new framework classifies color correction methods by computational units. Combinations of these units show superior performance in real-world image stitching and color correction tasks.

    More Related Videos

    High-Accuracy Correction of 3D Chromatic Shifts in the Age of Super-Resolution Biological Imaging Using Chromagnon
    08:18

    High-Accuracy Correction of 3D Chromatic Shifts in the Age of Super-Resolution Biological Imaging Using Chromagnon

    Published on: June 16, 2020

    8.0K
    Transient Optical Clearing Using Absorbing Molecules for Ex Vivo and In Vivo Imaging
    07:15

    Transient Optical Clearing Using Absorbing Molecules for Ex Vivo and In Vivo Imaging

    Published on: July 11, 2025

    3.1K

    Related Experiment Videos

    Last Updated: Feb 22, 2026

    Author Spotlight: Improved Methods for Preparing Transverse Sections and Unrolled Whole Mounts of Maize Leaf Primordia for Fluorescence and Confocal Imaging
    06:11

    Author Spotlight: Improved Methods for Preparing Transverse Sections and Unrolled Whole Mounts of Maize Leaf Primordia for Fluorescence and Confocal Imaging

    Published on: September 22, 2023

    4.3K
    High-Accuracy Correction of 3D Chromatic Shifts in the Age of Super-Resolution Biological Imaging Using Chromagnon
    08:18

    High-Accuracy Correction of 3D Chromatic Shifts in the Age of Super-Resolution Biological Imaging Using Chromagnon

    Published on: June 16, 2020

    8.0K
    Transient Optical Clearing Using Absorbing Molecules for Ex Vivo and In Vivo Imaging
    07:15

    Transient Optical Clearing Using Absorbing Molecules for Ex Vivo and In Vivo Imaging

    Published on: July 11, 2025

    3.1K

    Area of Science:

    • Computer Vision
    • Image Processing
    • Computational Photography

    Background:

    • Existing color correction methods lack a unified classification system.
    • Evaluating color correction effectiveness in real-world applications like image stitching is challenging.

    Purpose of the Study:

    • Introduce a compositional framework for classifying color correction methods.
    • Generate and evaluate novel color correction methods through combinatorial assembly of computational units.
    • Assess method performance using perceptual image quality metrics, focusing on real-world applications.

    Main Methods:

    • Developed a compositional framework based on two main computational units.
    • Dissected 15 existing algorithms and introduced 4 new computational units.
    • Created ~100 novel color correction methods by reassembling units combinatorially.
    • Tested methods on diverse datasets, including real and artificial color transformations and a novel dataset for specific acquisition setups.
    • Evaluated performance using recent perceptual image quality metrics.

    Main Results:

    • Combinations of new computational units excel in real-world image stitching scenarios, robust to misalignments and light scattering.
    • For accurate alignment and artificial color alterations, methods using new units or novel combinations of existing units perform best.
    • First-time experimental evidence provided using recent perceptual image quality metrics.

    Conclusions:

    • The proposed compositional framework effectively classifies and generates novel color correction methods.
    • New computational units and their combinations offer significant improvements for challenging real-world image processing tasks like stitching.
    • The study provides a robust evaluation methodology for color correction algorithms using advanced perceptual metrics.