Title
Rank filters with adaptive length
Abstract
In this paper rank filters of adaptive length will be presented. The filtering objective of these filters is the suppression of impulsive noise while preserving as much image detail as possible, and also high computational efficiency. In the proposed scheme the window size and shape are adaptively adjusted based on the amount of impulsive noise in an initial starting window. Using smaller windows increases the computational efficiency. To further improve the computational efficiency, median data blocks are used. The loss of image detail is prevented by an adaptive algorithm. Filtering examples demonstrating noise suppression, detail preservation, and computational efficiency are presented.
Publication Date
6-24-1994
Publication Title
Proceedings of SPIE - The International Society for Optical Engineering
Volume
2239
Number of Pages
256-266
Document Type
Article; Proceedings Paper
Identifier
scopus
Personal Identifier
scopus
DOI Link
https://doi.org/10.1117/12.179291
Copyright Status
Unknown
Socpus ID
85076903679 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85076903679
STARS Citation
Kasparis, Takis; Memon, Qurban; and Koteeswaran, Revathi, "Rank filters with adaptive length" (1994). Scopus Export 1990s. 138.
https://stars.library.ucf.edu/scopus1990/138