1 July 1989 Comparison Study Of Nonlinear Filters In Image Processing Applications
Yu-Shan Fong, Carlos A. Pomalaza-Raez, Xiao-Hua Wang
Author Affiliations +
Abstract
Nonlinear filters are used in many applications, including speech and image processing, owing to their ability to suppress noise and preserve signal features such as edges. This study presents a performance evaluation of non-linear filters derived from the robust point estimation theory. The first part of the work is a classification of various approaches to nonlinear filtering into three types of estimators according to the process of the filter. The second part is a computer implementation and evaluation of all of the filters discussed. Finally, a summary of experimental results is presented.
Yu-Shan Fong, Carlos A. Pomalaza-Raez, and Xiao-Hua Wang "Comparison Study Of Nonlinear Filters In Image Processing Applications," Optical Engineering 28(7), 287749 (1 July 1989). https://doi.org/10.1117/12.7977031
Published: 1 July 1989
Lens.org Logo
CITATIONS
Cited by 67 scholarly publications and 2 patents.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Nonlinear filtering

Image processing

Estimation theory

Interference (communication)

RELATED CONTENT

Bar code identification of digital levels
Proceedings of SPIE (April 12 2005)
Group-normalized wavelet packet signal processing
Proceedings of SPIE (April 03 1997)
Multiscale geometric filter based on the wavelet transform
Proceedings of SPIE (October 23 1996)
Wavelet statistical models and Besov spaces
Proceedings of SPIE (October 26 1999)

Back to Top