THE VIDEO FUSION THROUGH THE APPLICATION OF VARIOUS METHODS: AN ANALYSIS
DOI:
https://doi.org/10.65009/rxbzx753Keywords:
Image processing, Cameras, Image fusion, transforms, video signal processing, etc.,,Abstract
In light of the fact that a remarkable spatiotemporal video-combination principle boosted
movement remuneration is anticipated to be achieved throughout the whole of this endeavor, it is
anticipated that a remarkable spatiotemporal video-combination principle boosted movement
remuneration will be achieved. There are concerns connected to human visual image and objective
analysis criteria that I investigated in the literature survey. These concerns arise when two films are
combined into a single video. The purpose of video fusion is to maximize the amount of vital information
that is specific to a particular application or job while simultaneously minimizing all instances of
ambiguity and redundancy in the output. In order to enhance the videos without affecting any of the
video's properties, such as color, saturation, and intensity, and to evaluate the overall outcomes in
comparison to some of the techniques that are already in use.
In situations where the quality of the video data was high and the quality of the inertial data was poor,
dynamically constrained fusion is superior to unconstrained fusion in terms of improving estimation of
joint kinematics and joint centers. On the other hand, unconstrained fusion is advantageous in situations
when the quality of the video data is low. Based on these findings, it can be concluded that
complementary modalities and techniques have the potential to enhance motion tracking by clinically
important margins. Furthermore, it is essential to take into account the quality of the data as well as the
computational complexity when picking the method that is most suitable for a specific application.
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