Adaptive median filter for the removal of periodic interference from an image

Arthur Robert Weeks; Takis Kasparis; Brian Keif

doi:10.1117/12.177716

1 June 1994 Adaptive median filter for the removal of periodic interference from an image

Arthur Robert Weeks, Takis Kasparis, Brian Keif

Proceedings Volume 2238, Hybrid Image and Signal Processing IV; (1994) https://doi.org/10.1117/12.177716
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States

Abstract

A typical method of removing a periodic interference from an image is to two-dimensional fast Fourier transform (FFT) the interference corrupted image and manually locate and remove the impulses due to the interference. The last step is to inverse fast Fourier transform the interference free spectrum to yield the restored image. This is a manual process usually requiring human interaction and several iterations. In this paper, an adaptive median filter applied to an interference corrupted spectrum is presented to automatically remove only the interference spectral components while leaving the spectral components of the interference free image unmodified. The result is an interference free image obtained automatically.

Citation Download Citation

Arthur Robert Weeks, Takis Kasparis, and Brian Keif "Adaptive median filter for the removal of periodic interference from an image", Proc. SPIE 2238, Hybrid Image and Signal Processing IV, (1 June 1994); https://doi.org/10.1117/12.177716

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