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Related Experiment Video

Updated: Jun 16, 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

Motion blurring with decaying detector response.

|January 23, 2010

Summary

This summary is machine-generated.

This study generalizes image motion blur analysis for time-varying recording media. It provides specific formulas for decaying responses and various motion types, aiding optical system design.

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Semi-automated Optical Heartbeat Analysis of Small Hearts

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

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Published on: April 4, 2017

Semi-automated Optical Heartbeat Analysis of Small Hearts

Semi-automated Optical Heartbeat Analysis of Small Hearts

Published on: September 16, 2009

Area of Science:

Optical Engineering
Image Processing
Signal Analysis

Background:

Image motion relative to recording media causes blur, degrading image quality.
Understanding blur is crucial for accurate image reconstruction and analysis.
Existing models often assume static media responses, limiting applicability.

Purpose of the Study:

To derive generalized spread and optical transfer functions for time-varying recording media.
To analyze image motion blur under specific conditions like decaying responses and various motion types.
To model blurring in flying spot scanners due to phosphor decay time.

Main Methods:

Derivation of generalized spread functions (SF) and optical transfer functions (OTF).
Mathematical modeling for exponentially decaying media response.
Analysis of linear, sinusoidal, and random walk image motion.
Formulation of blur in flying spot scanners (FSS).

Main Results:

Generalized SF and OTF expressions for time-varying media.
Specific blur functions for decaying responses and different motion types.
An expression quantifying blur in CRT-based flying spot scanners.

Conclusions:

The derived functions provide a comprehensive framework for analyzing image motion blur in dynamic recording scenarios.
The models are applicable to diverse imaging systems, including those with decaying responses and specific motion patterns.
This work enhances the understanding and prediction of image degradation in systems like flying spot scanners.