Share Email Print

Proceedings Paper

New hardware implementation of fast vector median filters
Author(s): Long-Wen Chang; J. S. Lee
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Median filtering is a nonlinear filtering technique which is known for preserving sharp changes in signals and being particularly effective in removing impulse noise. It is very widely used in speech and image processing since it was first described by Tukey. Recently, Neuvo first introduced the concepts of vector median. In this approach, the samples of the vector- value input signals are processed as vectors instead of componentwise scalar processing. The vector median utilizes the correlation between different components. Thus, it is good for HDTV color image processing. In this paper, we first discuss the difference between componentwise median filter and vector median filter. Then, we propose several new vector median filters to increase signal noise ratio. A fast computational architecture for these algorithms is also addressed.

Paper Details

Date Published: 22 October 1993
PDF: 12 pages
Proc. SPIE 2094, Visual Communications and Image Processing '93, (22 October 1993); doi: 10.1117/12.157978
Show Author Affiliations
Long-Wen Chang, National Tsing Hua Univ. (Taiwan)
J. S. Lee, National Tsing Hua Univ. (Taiwan)

Published in SPIE Proceedings Vol. 2094:
Visual Communications and Image Processing '93
Barry G. Haskell; Hsueh-Ming Hang, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?