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

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

1.5K
This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
1.5K
Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

501
Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
501

You might also read

Related Articles

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

Sort by
Same author

From Antipsychotic to Antitumor Agent: Cariprazine Suppresses Glioblastoma via D2/D3-ARRB2 Axis Modulation.

Pharmaceuticals (Basel, Switzerland)·2026
Same author

Preparation, characterization and anticancer applications of HAase from Pedobacter heparinus.

BMC cancer·2026
Same author

Antimony oxide buffer layer for single- and double-junction perovskite-based solar cells.

Nature communications·2026
Same author

Early nurse-initiated enteral nutrition and its impact on postoperative recovery and complication rates: a meta-analysis of surgical patient outcomes.

Frontiers in nutrition·2025
Same author

Stent-assisted coiling in acutely ruptured aneurysms: critical methodological considerations from the SAVE registry.

International journal of surgery (London, England)·2025
Same author

A Sandwich-Type Impedimetric Immunosensor for the Detection of Tau-441 Biomarker.

Bioengineering (Basel, Switzerland)·2025
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

Related Experiment Video

Updated: Apr 23, 2026

Control of Cell Adhesion using Hydrogel Patterning Techniques for Applications in Traction Force Microscopy
12:26

Control of Cell Adhesion using Hydrogel Patterning Techniques for Applications in Traction Force Microscopy

Published on: January 29, 2022

8.0K

A fast adaptive parameter estimation for total variation image restoration.

Chuan He, Changhua Hu, Wei Zhang

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |September 30, 2014
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a fast algorithm for image restoration that simultaneously estimates the regularization parameter and restores degraded images. The method improves speed and accuracy for various image restoration tasks.

    More Related Videos

    Medical-grade Sterilizable Target for Fluid-immersed Fetoscope Optical Distortion Calibration
    07:03

    Medical-grade Sterilizable Target for Fluid-immersed Fetoscope Optical Distortion Calibration

    Published on: February 23, 2017

    7.4K
    Particle Image Velocimetry Investigation of Hemodynamics via Aortic Phantom
    06:26

    Particle Image Velocimetry Investigation of Hemodynamics via Aortic Phantom

    Published on: February 25, 2022

    4.5K

    Related Experiment Videos

    Last Updated: Apr 23, 2026

    Control of Cell Adhesion using Hydrogel Patterning Techniques for Applications in Traction Force Microscopy
    12:26

    Control of Cell Adhesion using Hydrogel Patterning Techniques for Applications in Traction Force Microscopy

    Published on: January 29, 2022

    8.0K
    Medical-grade Sterilizable Target for Fluid-immersed Fetoscope Optical Distortion Calibration
    07:03

    Medical-grade Sterilizable Target for Fluid-immersed Fetoscope Optical Distortion Calibration

    Published on: February 23, 2017

    7.4K
    Particle Image Velocimetry Investigation of Hemodynamics via Aortic Phantom
    06:26

    Particle Image Velocimetry Investigation of Hemodynamics via Aortic Phantom

    Published on: February 25, 2022

    4.5K

    Area of Science:

    • Image Processing
    • Computational Mathematics

    Background:

    • Ill-posed image restoration problems require careful regularization parameter estimation.
    • Total Variation (TV) models are common but present challenges due to non-differentiability.

    Purpose of the Study:

    • To develop a fast algorithm for simultaneous regularization parameter estimation and image restoration.
    • To address the challenges of non-differentiability in TV models.

    Main Methods:

    • Utilized the Total Variation (TV) model and alternating direction method of multipliers.
    • Applied variable splitting to regularization and data fidelity terms.
    • Derived a closed-form update for the regularization parameter in each iteration.

    Main Results:

    • The algorithm efficiently estimates the regularization parameter and restores images.
    • The method satisfies Morozov's discrepancy principle.
    • Demonstrated superior speed and competitive accuracy compared to state-of-the-art methods.

    Conclusions:

    • The proposed algorithm offers an effective and efficient solution for image restoration.
    • The method is extendable to multichannel image restoration.
    • Guaranteed convergence with a variable regularization parameter.