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

Deconvolution01:20

Deconvolution

495
Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
495
Masking and Demasking Agents01:19

Masking and Demasking Agents

3.3K
EDTA titrations may necessitate masking and demasking agents to temporarily protect a particular metal ion in a mixture from the EDTA reaction. These agents facilitate the sequential analysis of the metal ions by forming stable complexes with some—but not all—metal ions during certain steps.
There are many masking agents, such as cyanide, fluoride, triethanolamine, thiourea, and 2,3-bis(sulfanyl)propan-1-ol (formerly 2,3-dimercapto-1-propanol), with the masking agent chosen based on...
3.3K
Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

633
Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...
633
Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

12.1K
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...
12.1K
Downsampling01:20

Downsampling

535
When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
The Fourier transform of the decimated sequence reveals a combination of scaled and shifted versions of the original spectrum. This...
535
Phase Contrast and Differential Interference Contrast Microscopy01:26

Phase Contrast and Differential Interference Contrast Microscopy

11.8K
Phase-Contrast Microscopes
In-phase-contrast microscopes, interference between light directly passing through a cell and light refracted by cellular components is used to create high-contrast, high-resolution images without staining. It is the oldest and simplest type of microscope that creates an image by altering the wavelengths of light rays passing through the specimen. Altered wavelength paths are created using an annular stop in the condenser. The annular stop produces a hollow cone of...
11.8K

You might also read

Related Articles

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

Sort by
Same author

Selection, Aggregation, and Enhancement: Trajectory Consistent Diffusion Model for Image Super-Resolution.

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

Bridging data and discovery: a survey on knowledge graphs in AI for science.

National science review·2026
Same author

UDD: Unsupervised denoising diffusion for noisy multi-focus image fusion.

Neural networks : the official journal of the International Neural Network Society·2026
Same author

An Unsupervised Image Dehazing With Scene Geometry Prior for Road Traffic Scenarios.

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

Exploring Hierarchical Cross-Modal Correlation Consistency for Partial Mismatching.

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

Rethinking Artifact Mitigation in HDR Reconstruction: From Detection to Optimization.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2025
Same journal

Style-Aware Contrastive Test-Time Adaptation: A Dual-Cache Model for Robust Vision-Language Alignment.

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

Semantic Frame Interpolation.

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

Physics-Guided Cross-Modal Decoupling with Test-Time Adaptation for Hyperspectral Image Restoration.

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

Change-Prior-Guided Unsupervised Change Detection of Heterogeneous Remote Sensing Images.

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

AgonicDreamer: Enhancing Multi-View Consistency in Text-to-3D Generation via Rectified Score Distillation.

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

BiCM-Prompt: Bidirectional Cross-Modal Prompt Tuning for Class-Incremental Learning on Multisource Remote Sensing Images.

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

Related Experiment Video

Updated: Dec 26, 2025

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

2.1K

Color Image Demosaicing Using Progressive Collaborative Representation.

Zhangkai Ni, Kai-Kuang Ma, Huanqiang Zeng

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |March 10, 2020
    PubMed
    Summary
    This summary is machine-generated.

    A new progressive collaborative representation (PCR) framework enhances color image demosaicing performance by iteratively refining images. This method boosts the quality of existing demosaicing techniques.

    More Related Videos

    Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
    07:05

    Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

    Published on: June 18, 2021

    2.7K
    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

    8.7K

    Related Experiment Videos

    Last Updated: Dec 26, 2025

    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

    2.1K
    Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
    07:05

    Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

    Published on: June 18, 2021

    2.7K
    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

    8.7K

    Area of Science:

    • Digital Image Processing
    • Computer Vision

    Background:

    • Color image demosaicing is crucial for reconstructing full-color images from sensor data.
    • Existing demosaicing methods have limitations in performance and accuracy.

    Purpose of the Study:

    • To propose a novel Progressive Collaborative Representation (PCR) framework.
    • To enhance the performance of any existing color image demosaicing method.

    Main Methods:

    • The PCR framework involves two phases: offline training and online refinement.
    • Offline training includes multiple stages of dictionary learning and projection matrix generation.
    • Online refinement utilizes learned projection matrices to improve demosaiced image quality.

    Main Results:

    • The proposed PCR framework consistently improved the performance of various demosaicing algorithms.
    • Both objective and subjective evaluations demonstrated significant performance boosts.
    • Simulations were conducted on standard datasets like IMAX and Kodak.

    Conclusions:

    • The PCR framework effectively enhances color image demosaicing.
    • It offers a versatile approach to improve existing demosaicing techniques.
    • The method shows promise for applications requiring high-quality image reconstruction.