Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/7196
Title: Block median filters
Authors: Kasparis, Takis 
Memon, Qurban A.
Keywords: Algorithms
Statistical methods
Cost effectiveness
Filters and filtration
Issue Date: 1995
Publisher: SPIE
Source: Visual Information Processing IV, 1995, Orlando, Florida
Abstract: Rank and median filters (MFs) have become one of the standard techniques for suppressing noise of impulsive nature. A limitation of these filters is the high computational cost when implemented on general purpose computers. Several fast algorithms have been developed for specific types of signals. An alternative is computationally more efficient filters with MF-like performance. One proposed filter in this category with selectable trade-off between reduction of computation and MF-like performance is the block median filter (BMF). The BMF produces a median block at each window position, thus effectively reducing the total window steps and the computation. In this paper some statistical properties of the BMF and comparisons with the MF are presented. It is shown that for large window sized, the statistical properties of the BMF approach those of the MF.
URI: http://ktisis.cut.ac.cy/handle/10488/7196
http://172.16.21.12:8080/jspui/handle/10488/7196
http://hdl.handle.net/10488/7196
ISSN: 0277786X
DOI: 10.1117/12.211993
Rights: © 1995 SPIE
Appears in Collections:Δημοσιεύσεις σε συνέδρια/Conference papers

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