A novel structure of LWOS filters based on threshold decomposition

Author

Ishihara, Haruyuki ; Taguchi, Akira

Author_Institution

Dept. of Electr. & Electron. Eng., Musashi Inst. of Technol., Tokyo, Japan

Volume

48

Issue

9

fYear

2001

fDate

9/1/2001 12:00:00 AM

Firstpage

857

Lastpage

862

Abstract

In this work, we discuss the restoration of a signal corrupted by additive noise. We aim to develop a smoothing filter which can utilize both the rank- and temporal-order information of the input data. It is well known that the LWOS-filter is one nonlinear filter which can utilize both kinds of information. However, the LWOS filter suffers from rapid growth in the number of parameters as the window size increases. It is impossible to design LWOS filters with a window larger than 5×5. This window size limitation is a major drawback for image processing. This work presents a novel form of LWOS filter, called the modified LWOS (M-LWOS) filter. M-LWOS filters are defined in the threshold decomposition domain. A M-LWOS filter with arbitrary window size can be easily designed. We present a design method for the M-LWOS filter and show the effectiveness of the proposed filter

Keywords

digital filters; image restoration; noise; nonlinear filters; smoothing methods; additive noise corrupted signal; arbitrary window size; design method; image processing; image restoration; modified LWOS filter; nonlinear filter; rank-order information; smoothing filter; temporal-order information; threshold decomposition; threshold decomposition domain; window size limitation; Additive noise; Design methodology; Image processing; Image restoration; Information filtering; Information filters; Nonlinear filters; Signal restoration; Smoothing methods; Statistics;

fLanguage

English

Journal_Title

Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1057-7130

Type

jour

DOI

10.1109/82.965000

Filename

965000