Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Differential Leveling

Differential Leveling

Differential leveling is a precise method in surveying used to determine the elevation difference between two points. Its primary goal is to establish accurate vertical measurements to create level surfaces or grade lines critical for designing and constructing infrastructures such as roads, bridges, and buildings.The procedure for differential leveling begins with setting up and leveling the instrument at a point where the benchmark can be seen. The level rod is held on the benchmark (BM), and...

Muscle Stimulation Frequency

Muscle Stimulation Frequency

The contraction strength of muscles is regulated by motor neurons, which modulate the frequency of action potentials dispatched to the motor units based on the body's requirements. This process of varying the muscle stimulation frequency allows muscles to contract with a force that is precisely tailored to the needs of the moment, whether lifting a feather or a heavy box.
Wave summation
At low firing rates, motor neurons induce individual twitch contractions in muscle fibers. These twitches...

Time-Domain Interpretation of PD Control

Time-Domain Interpretation of PD Control

Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...

Controlled-Current Coulometry: Coulometric Titration

Controlled-Current Coulometry: Coulometric Titration

Coulometric titrations are a form of titrimetric analysis where the reagent is generated electrically, and its amount is evaluated based on current and generating time. The electron serves as the standard reagent. The procedure is similar to conventional titrations, such as endpoint detection.
The fundamental requirements for coulometric titrations are (1) 100% efficiency in the reagent-generating electrode reaction and (2) a stoichiometric and preferably rapid reaction between the generated...

PI Controller: Design

PI Controller: Design

Proportional Integral (PI) controllers are a fundamental component in modern control systems, widely used to enhance performance and mitigate steady-state errors. They are particularly effective in applications such as automatic brightness adjustment on smartphones, where they excel at mitigating steady-state errors for step-function inputs. Unlike PD controllers, which require time-varying errors to function optimally, PI controllers leverage their integral component to address residual...

Gradually Varying Flow

Gradually Varying Flow

Gradually varying flow (GVF) in open channels describes situations where water depth changes slowly along the channel due to factors like non-uniform bed slope, channel shape variations, or obstructions. This flow type occurs when the depth adjusts gradually to balance gravitational forces, shear forces, and energy requirements, resulting in a low rate of depth change.Characteristics of Gradually Varying FlowGVF is commonly observed in natural streams, rivers, and canals, where flow depth...

You might also read

Related Articles

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

Sort by

Same author

Design of antireflection gratings with approximate and rigorous methods.

Applied optics·2010

Same author

Binarization of diffractive elements with nonperiodic structures.

Applied optics·2010

Same author

Iterative techniques to integrate different optical functions in a diffractive phase element.

Applied optics·2010

Same author

Signal synthesis for diffractive optical elements in hybrid systems.

Applied optics·2010

Same author

Laser beam scanning using computer-generated holograms.

Applied optics·2010

Same author

Can detrimental effects in photographic volume holography be compensated for?

Applied optics·2010

Search research articles

Related Experiment Video

Updated: Jul 7, 2026

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques

Published on: April 4, 2017

Gradient-controlled iterative half-toning.

T Zeggel, O Bryngdahl

|January 10, 1997

Summary

This summary is machine-generated.

This study introduces an adaptive digital half-toning algorithm that uses image gradient information. The novel approach enhances high-frequency reproduction by adapting the algorithm

Related Experiment Videos

Last Updated: Jul 7, 2026

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques

Published on: April 4, 2017

Area of Science:

Digital imaging and signal processing.
Computer graphics and image reproduction.

Background:

Digital half-toning algorithms aim to reproduce continuous-tone images using discrete elements.
Adapting half-toning to local image characteristics is a key challenge for improved quality.
Existing methods often lack adaptability to varying image features, particularly at high frequencies.

Purpose of the Study:

To develop and evaluate a digital half-toning algorithm that adapts to local image properties.
To improve the reproduction of high-frequency details in digital half-toned images.
To demonstrate the control and characteristics of the proposed space-variant algorithm.

Main Methods:

Utilizing image gradient information to guide the half-toning process.
Implementing an iterative convolution algorithm with a space-variant impulse response.
Conducting experiments to validate the algorithm's performance and controllability.

Main Results:

The proposed algorithm successfully adapts to local image properties.
Significant improvement in the reproduction of high-frequency image content was observed.
The algorithm offers demonstrable control over its adaptive behavior.

Conclusions:

Incorporating image gradient into a space-variant iterative convolution is effective for adaptive digital half-toning.
This approach enhances the reproduction of high frequencies, leading to better image quality.
The developed algorithm provides a controllable method for adapting half-toning to image content.