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Exploiting camera rolling shutter to detect high frequency signals
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Paper 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.

Paper Details

Date Published: 6 September 2019
PDF: 10 pages
Proc. SPIE 11137, Applications of Digital Image Processing XLII, 111370H (6 September 2019); doi: 10.1117/12.2529458
Show Author Affiliations
Lena Franklin, U.S. Naval Research Lab. (United States)
David Huber, U.S. Naval Research Lab. (United States)


Published in SPIE Proceedings Vol. 11137:
Applications of Digital Image Processing XLII
Andrew G. Tescher; Touradj Ebrahimi, Editor(s)

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