Title
An adaptive median filter for the removal of periodic interference from an image
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.
Publication Date
6-1-1994
Publication Title
Proceedings of SPIE - The International Society for Optical Engineering
Volume
2238
Number of Pages
207-217
Document Type
Article; Proceedings Paper
Identifier
scopus
Personal Identifier
scopus
DOI Link
https://doi.org/10.1117/12.177716
Copyright Status
Unknown
Socpus ID
85020306085 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85020306085
STARS Citation
Weeks, Arthur R.; Kasparis, Takis; and Keif, Brian, "An adaptive median filter for the removal of periodic interference from an image" (1994). Scopus Export 1990s. 143.
https://stars.library.ucf.edu/scopus1990/143