Image deconvolution techniques for motion blur compensation in DIC measurements

Turrisi, Simone; Zappa, Emanuele; Lavatelli, Alberto

doi:10.1109/i2mtc.2018.8409567

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Motion Blur Estimation1

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2018

2024

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“…Another goal is to estimate a motion blur which is variable inside a given image. A preliminary study on the feasibility of a monodimensional motion blur estimator for DIC images has been presented in [34]. This paper will extend those concepts to the generic bi-dimensional problem.…”

Section: Motion Blur Estimationmentioning

confidence: 99%

A motion blur compensation algorithm for 2D DIC measurements of deformable bodies

Lavatelli

Turrisi

Zappa

2018

Meas. Sci. Technol.

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Digital image correlation (DIC) is a widely adopted optical technique to detect motions and deformations dealing with vision-based systems. Considering DIC dynamic applications, motion blur represents one of the most relevant sources of measurement uncertainty. This paper proposes an innovative approach to compensate the effect of motion blur on images coming from deformable bodies, where the amount of blur (w) varies within the single frame. A subset-based technique is developed to estimate and then remove motion blur for each image region. The algorithm is validated both on synthetic images and experimental data, demonstrating its effectiveness at improving the accuracy of the displacements measured by DIC.

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Section: Motion Blur Estimationmentioning

confidence: 99%