Image Processing for Motion Magnification
Fuente:
arXiv
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| Autori principali: | , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866917837576077312 |
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| author | Egidi, Nadaniela Giacomini, Josephin Leonesi, Paolo Maponi, Pierluigi Mearelli, Federico Trebovic, Edin |
| author_facet | Egidi, Nadaniela Giacomini, Josephin Leonesi, Paolo Maponi, Pierluigi Mearelli, Federico Trebovic, Edin |
| contents | Motion Magnification (MM) is a collection of relative recent techniques within the realm of Image Processing. The main motivation of introducing these techniques in to support the human visual system to capture relevant displacements of an object of interest; these motions can be in object color and in object location. In fact, the goal is to opportunely process a video sequence to obtain as output a new video in which motions are magnified and visible to the viewer. We propose a numerical technique using the Phase-Based Motion Magnification which analyses the video sequence in the Fourier Domain and rely on the Fourier Shifting Property. We describe the mathematical foundation of this method and the corresponding implementation in a numerical algorithm. We present preliminary experiments, focusing on some basic test made up using synthetic images. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_09555 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Image Processing for Motion Magnification Egidi, Nadaniela Giacomini, Josephin Leonesi, Paolo Maponi, Pierluigi Mearelli, Federico Trebovic, Edin Computer Vision and Pattern Recognition Numerical Analysis Motion Magnification (MM) is a collection of relative recent techniques within the realm of Image Processing. The main motivation of introducing these techniques in to support the human visual system to capture relevant displacements of an object of interest; these motions can be in object color and in object location. In fact, the goal is to opportunely process a video sequence to obtain as output a new video in which motions are magnified and visible to the viewer. We propose a numerical technique using the Phase-Based Motion Magnification which analyses the video sequence in the Fourier Domain and rely on the Fourier Shifting Property. We describe the mathematical foundation of this method and the corresponding implementation in a numerical algorithm. We present preliminary experiments, focusing on some basic test made up using synthetic images. |
| title | Image Processing for Motion Magnification |
| topic | Computer Vision and Pattern Recognition Numerical Analysis |
| url | https://arxiv.org/abs/2411.09555 |