Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/13991
Title: | An adaptive median filter for the removal of periodic interference from an image | Authors: | Weeks, Arthur R. Kasparis, Takis Keif, Brian |
Major Field of Science: | Engineering and Technology | Field Category: | Electrical Engineering - Electronic Engineering - Information Engineering | Issue Date: | 1-Jun-1994 | Source: | Proceedings Volume 2238, Hybrid Image and Signal Processing IV; (1994) | Conference: | SPIE Conference Proceedings | Abstract: | © 1994 COPYRIGHT SPIE. 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. | URI: | https://hdl.handle.net/20.500.14279/13991 | ISBN: | 9780819415424 | ISSN: | 2-s2.0-85020306085 0277786X https://api.elsevier.com/content/abstract/scopus_id/85020306085 2-s2.0-85020306085 https://api.elsevier.com/content/abstract/scopus_id/85020306085 |
DOI: | 10.1117/12.177716 | Type: | Conference Papers | Affiliation : | University of Central Florida | Publication Type: | Peer Reviewed |
Appears in Collections: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
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