Title :
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
fDate :
9/1/2001 12:00:00 AM
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;
Journal_Title :
Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on
