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

Color Vision01:24

Color Vision

629
Color perception begins in the retina, the light-sensitive layer at the back of the eye. Two main theories explain how colors are seen: the trichromatic theory and the opponent-process theory. The trichromatic theory, proposed by Thomas Young in 1802 and extended by Hermann von Helmholtz in 1852, suggests that color vision is based on three types of cone receptors in the retina. These cones are sensitive to different but overlapping ranges of wavelengths corresponding to red, blue, and green.
629
Special Staining Techniques01:13

Special Staining Techniques

86
Specialized staining techniques play a vital role in microbiology by enabling the visualization of specific bacterial structures that remain undetectable with standard microscopy methods. These techniques not only enhance the structural visualization of bacterial cells but also provide critical insights into their pathogenicity and classification. Additionally, they support diagnostic and research endeavors in microbiology by identifying key bacterial features.Capsule Staining for Virulence...
86
Simple Staining Technique01:24

Simple Staining Technique

185
OverviewStaining techniques in microscopy enhance the visualization of microorganisms by increasing contrast and allowing the differentiation of cellular structures. Simple staining is one of the fundamental methods used to observe the basic morphological characteristics of microorganisms, including their size, shape, and arrangement. This method relies on the application of a single dye to stain the entire cell, producing a clear contrast between the cell and the background.FixationFixation is...
185
Differential Staining Technique01:26

Differential Staining Technique

118
Differential staining is an essential microbiological technique that exploits variations in cell wall structures to classify and identify microorganisms. It facilitates the distinction of bacteria, aiding in diagnostic and research applications. Two of the most widely used differential staining methods are Gram staining and acid-fast staining, both of which rely on the chemical and structural differences in bacterial cell walls.Gram Staining TechniqueGram staining differentiates bacteria by...
118
Photoreceptors and Visual Pathways01:22

Photoreceptors and Visual Pathways

6.2K
At the molecular level, visual signals trigger transformations in photopigment molecules, resulting in changes in the photoreceptor cell's membrane potential. The photon's energy level is denoted by its wavelength, with each specific wavelength of visible light associated with a distinct color. The spectral range of visible light, classified as electromagnetic radiation, spans from 380 to 720 nm. Electromagnetic radiation wavelengths exceeding 720 nm fall under the infrared category,...
6.2K
Monohybrid Crosses01:20

Monohybrid Crosses

230.5K
Overview
230.5K

You might also read

Related Articles

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

Sort by
Same author

Photon-counting detector CT in cardiovascular imaging: technical advances, clinical applications, and future perspectives.

The international journal of cardiovascular imaging·2026
Same author

Nitrogen-Rich Fused-Ring Heat-Resistant Energetic Materials via Concise Synthetic Strategies.

The Journal of organic chemistry·2026
Same author

Unveiling rare drug interactions via a BioGPT-enhanced dual graph framework for robust pharmacovigilance.

iScience·2026
Same author

Association between maternal yogurt consumption during late pregnancy and risk of infantile diarrhoea: a prospective cohort study.

International journal of food sciences and nutrition·2026
Same author

Redundant Glycerol-3-Phosphate Acyltransferases Regulate Thermo-Sensitive Genic Male Sterility in Rice.

Plant biotechnology journal·2026
Same author

Niacin Mitigates Cyclophosphamide-Induced Immunosuppression by Maintaining Intestinal Homeostasis and Regulating the HCAR2/NLRP3 and PTGS2/PGE2 Signaling Pathways.

Nutrients·2026
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: Aug 4, 2025

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

7.5K

Guided Colorization Using Mono-Color Image Pairs.

Zehua Sheng, Hui-Liang Shen, Bowen Yao

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |April 5, 2023
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a novel framework for colorizing monochrome images using guidance from color images. The method enhances image quality by leveraging luminance matching and probabilistic concept guidance for efficient and effective color restoration.

    More Related Videos

    Qualitative Identification of Carboxylic Acids, Boronic Acids, and Amines Using Cruciform Fluorophores
    09:46

    Qualitative Identification of Carboxylic Acids, Boronic Acids, and Amines Using Cruciform Fluorophores

    Published on: August 19, 2013

    15.6K
    Visualizing Visual Adaptation
    04:43

    Visualizing Visual Adaptation

    Published on: April 24, 2017

    9.0K

    Related Experiment Videos

    Last Updated: Aug 4, 2025

    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

    7.5K
    Qualitative Identification of Carboxylic Acids, Boronic Acids, and Amines Using Cruciform Fluorophores
    09:46

    Qualitative Identification of Carboxylic Acids, Boronic Acids, and Amines Using Cruciform Fluorophores

    Published on: August 19, 2013

    15.6K
    Visualizing Visual Adaptation
    04:43

    Visualizing Visual Adaptation

    Published on: April 24, 2017

    9.0K

    Area of Science:

    • Computer Vision
    • Image Processing
    • Computational Photography

    Background:

    • Monochrome (mono) images offer higher signal-to-noise ratios (SNR) and richer textures than RGB images due to the absence of color filter arrays.
    • Conventional RGB cameras capture color images but may have lower SNR and less detailed textures compared to monochrome counterparts.

    Purpose of the Study:

    • To develop a novel probabilistic-concept guided colorization framework for enhancing monochrome images.
    • To integrate lightness information from monochrome images with color information from RGB images for effective image enhancement.
    • To improve image quality by restoring color details while preserving high SNR and rich textures.

    Main Methods:

    • Utilizing a mono-color stereo dual-camera system for image acquisition.
    • Implementing a probabilistic-concept guided colorization framework based on lightness matching and color estimation from guidance RGB images.
    • Employing a patch sampling strategy and generating extra color seeds to accelerate the colorization process and alleviate incorrect color propagation.

    Main Results:

    • The proposed algorithm efficiently and effectively restores color images from mono-color image pairs, yielding higher SNR and richer details.
    • Demonstrated good performance in solving the color bleeding problem, a common issue in image colorization.
    • Experimental results validate the framework's ability to produce high-quality colorized images.

    Conclusions:

    • The novel framework successfully colorizes monochrome images by integrating lightness and color information, leading to enhanced image quality.
    • The patch sampling strategy and extra color seed generation contribute to efficient and accurate color propagation.
    • This approach offers a robust solution for restoring detailed and vibrant color to monochrome images.