Jitter reduction using native fiducials in rotating mirror ultra-fast microphotography

Area of Science:

• Optical Engineering
• Image Processing
• High-Speed Imaging

Background:

• Rotating mirror cameras are essential for MHz-framing high-speed imaging.
• The technique involves sweeping images across CCD sensors, which can introduce spatial jitter due to optical misalignments.

Purpose of the Study:

• To develop and validate a software-based countermeasure for spatial jitter in rotating mirror camera systems.
• To improve the quality and stability of high-speed video recordings.

Main Methods:

• Implementation of static and dynamic fiducials as software markers.
• Utilizing fiducials to correct spatial jitter in the recorded video data.
• Comparison of the fiducial-based method with industry-standard jitter reduction algorithms.

Main Results:

• The fiducial-based jitter reduction suppressed the standard deviation of corrected video files by up to 88.5% maximally and 66.5% on average.
• The method proved as effective as industry-standard algorithms in jitter reduction.
• Post-processed videos using the fiducial strategy exhibited superior aesthetic quality.

Conclusions:

• Static and dynamic fiducials offer an effective software solution to mitigate spatial jitter in high-speed imaging.
• This fiducial-based approach enhances the quality and usability of data from rotating mirror cameras.
• The technique provides a robust and aesthetically pleasing alternative for jitter correction.