通过傅里叶相位分析放大视频中微小运动，让肉眼可见。
Image Processing for Motion Magnification
- 基于傅里叶域相位变化检测运动，利用傅里叶平移性质放大
- 在合成图像上验证，可有效增强人眼难以察觉的微小位移
- 适合需要捕捉细微动态的医学或工业视觉分析场景
运动放大（Motion Magnification, MM）是图像处理领域近年来的一类技术，旨在辅助人类视觉系统感知目标物体的微小位移，包括位置和颜色的变化。其目标是处理视频序列，输出一个运动被放大的新视频，使原本不可见的运动变得清晰可见。本文提出一种基于相位的运动放大数值方法，通过在傅里叶域分析视频序列，并利用傅里叶平移性质实现运动放大。文章详细阐述了该方法的数学基础及对应的数值算法实现，并展示了初步实验结果，主要基于合成图像进行测试。
原文摘要 · Abstract (English)
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.
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