Title
Adaptive Vector Median Filters
Abstract
In this paper we present a class of order statistic filters named adaptive vector median. These filters generalize the median by using the concept of the median vector. The principal advantage of using median vectors is a significant reduction of computation. The proposed filter uses an adaptive algorithm that examines whether individual pixels are contaminated by impulsive noise, and if not, no filtering is performed on these pixels. The combination of the vector median and the adaptive algorithm results in a computationally efficient filter that preserves much of the image fine detail while removing impulsive noise, and also avoids alteration of noise-free images. Computer simulation results and comparisons with other filters will be presented.
Publication Date
8-27-1993
Publication Title
Proceedings of SPIE - The International Society for Optical Engineering
Volume
1961
Number of Pages
34-43
Document Type
Article; Proceedings Paper
Identifier
scopus
Personal Identifier
scopus
DOI Link
https://doi.org/10.1117/12.150970
Copyright Status
Unknown
Socpus ID
85075817438 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85075817438
STARS Citation
Kasparis, Takis and Koteeswaran, Revathi, "Adaptive Vector Median Filters" (1993). Scopus Export 1990s. 534.
https://stars.library.ucf.edu/scopus1990/534