Paper
2 November 2004 Vibration estimation in image sequences for detection of temporal-domain signals
Gennady Feldman, Doron Bar, Israel Tugendhaft, Ariel Elior
Author Affiliations +
Abstract
An algorithm is reported for estimation and suppression of small vibration effects in image sequences. Such effects, even of sub-pixel magnitude, may critically degrade power spectrum of temporal-domain signals. The algorithm consists of the following steps: (1) We perform preliminary detection of the presence of vibration and localize its fundamental frequency by estimating and analyzing the two-dimensional signal, composed of micro-displacements caused by vibrations; (2) We approximate this two-dimensional signal by a two-dimensional periodic function, treating it basically the same way as periodic signals. This model depends on a small number of coefficients. These coefficients are determined by direct LS fitting of the data. (3) We eliminate the effects of the vibration using this model function, for each pixel separately. With this algorithm, several image sequences were processed. The vibration image motions were reconstructed with sub-pixel accuracy and were not, usually, reducible to one-dimensional sinusoidal motion. The algorithm appears to be useful for improving detection of periodic signals in image sequences and reducing false alarms. This article continues our work on detection of periodic signals in image sequences.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gennady Feldman, Doron Bar, Israel Tugendhaft, and Ariel Elior "Vibration estimation in image sequences for detection of temporal-domain signals", Proc. SPIE 5558, Applications of Digital Image Processing XXVII, (2 November 2004); https://doi.org/10.1117/12.559478
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Signal detection

Image processing

Motion models

Data modeling

Detection and tracking algorithms

Distortion

Digital signal processing

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