Video Magnification Techniques: Medical Applications and Comparison of Methods

Abstract

The unassisted visual system cannot note minute temporal variations in video and image sequences. In many applications, these differences and small signals are highly informative. A new technique used to expose video variations by measuring and amplifying video variations over time in a fixed position (pixel) was used to Eulerian video magnification (EVM). The objective of the study is to investigate and evaluate different processes for the creation and testing of EVM techniques and video quality parameters for each one of those methods. This research employed four new methods; EVM, Riesz pyramid for fast phase-based video magnification (FPBM), phase-based video magnification (PBM), and Enhanced Eulerian video magnification (E2VM). The experimental findings compared with their output for certain enlargement methods; time and quality parameters of image. A new magnification method is required based on the study of the exiting methods, which takes account of noise elimination, video quality and time reduction.

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“…For instance, Poh et al [28] determined a person's heart rate from a video of their face by analyzing changes in their skin color that are invisible to the human eye. A comparison of different video magnification methods and their medical applications is presented in [30], where the authors concluded that a new magnification method is required that considers noise elimination, video quality, and reducing the processing time.…”