2018
DOI: 10.1088/1742-6596/1149/1/012009
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Estimation and compensation of motion blur for the reduction of uncertainty in DIC measurements of flexible bodies

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Cited by 3 publications
(3 citation statements)
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“…The algorithm adopted to estimate the noise-to-signal ratio for Wiener deconvolution is the same discussed in [51], and is based on the processing of a sequence of static images of the target. The working principle of the algorithm is displayed in figure 10 and can be explained as follows.…”
Section: Nsr Definitionmentioning
confidence: 99%
See 1 more Smart Citation
“…The algorithm adopted to estimate the noise-to-signal ratio for Wiener deconvolution is the same discussed in [51], and is based on the processing of a sequence of static images of the target. The working principle of the algorithm is displayed in figure 10 and can be explained as follows.…”
Section: Nsr Definitionmentioning
confidence: 99%
“…Therefore, the deconvolution problem has to be solved at subset level, where blur intensity and direction remains almost constant. In [51], the authors have demonstrated that the choice of subset size deeply influences the performance of motion blur estimation technique. Good estimation results were obtained only when the subset size exceeded 70 × 70 px.…”
Section: Validation On Synthetic Imagesmentioning
confidence: 99%
“…While to eliminate the problem of refraction of light rays in the paper [3] solutions were given using the X-ray acquisition method and the vacuum chamber acquisition method. In the papers [4], [5], solutions to the problem of photo blur due to the movement of the recorded scene or acquisition device are given, and in the paper [6] an estimate of the error caused by moving the acquisition device is proposed. The stabilization of the acquisition floating robot on waves is researched in the paper [7], a new solution to the problem of cumulative errors and noises generated by a general gyro sensor has been proposed.…”
Section: Introductionmentioning
confidence: 99%