Improved Video Motion Magnification Method Assisted by Digital Image Correlation

Video Motion Magnification (VMM) has gained considerable attention in the field of engineering measurement due to its impressive ability to amplify subtle motions. However, traditional algorithms often suffer from image artifacts and noise due to improper parameter settings, especially when dealing with weak motion. This paper introduces an improved VMM method that addresses this limitation by incorporating the Digital Image Correlation (DIC) technique. The proposed method utilizes DIC-measured image displacement results to analyze the dominant motion frequencies. Based on this analysis, the parameters of the VMM time domain filter are set accordingly. This approach enables motion magnification in videos while preserving image details and reducing noticeable artifacts. Simulation experiments conducted on an indoor precision displacement platform demonstrate the effectiveness of the proposed method. It eliminates the need for repetitive manual parameter adjustment through trial, producing clear and amplified motion videos. Additionally, it enables accurate measurement of small-scale motions. Overall, the proposed method enhances the performance of VMM by leveraging DIC and provides a more reliable and efficient approach for motion magnification in engineering measurement applications.