Image Processing for Motion Magnification

TL;DR

This paper discusses a phase-based motion magnification technique that enhances visible motions in videos by analyzing Fourier domain properties, supported by mathematical foundations and preliminary synthetic tests.

Contribution

It introduces a Fourier domain-based numerical method for motion magnification, detailing its mathematical basis and implementation.

Findings

Effective in magnifying motions in synthetic videos

Provides a mathematical framework for phase-based motion analysis

Initial experiments demonstrate feasibility

Abstract

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.