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6 September 2019 Exploiting camera rolling shutter to detect high frequency signals
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Abstract
Rolling shutter-based image sensors generate images by sequentially illuminating individual pixel rows. While this often results in unwanted image distortion for scenes with motion, we propose methods to exploit the temporal behavior of the rolling shutter to detect periodic changes. Temporal information can be extracted from single rolling shutter frames, but one is limited by the number of pixels that the motion extends in the frame. However, with several rolling shutter frames we can extract very high frequencies, without aliasing, that are far above the nominal Nyquist limit established for global shutter cameras based upon the same camera frame rate. Applying the Lomb-Scargle periodogram permits a frequency analysis of sources that extend only a few pixel rows in the image.
Conference Presentation
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lena Franklin and David Huber "Exploiting camera rolling shutter to detect high frequency signals", Proc. SPIE 11137, Applications of Digital Image Processing XLII, 111370H (6 September 2019); https://doi.org/10.1117/12.2529458
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